Deutsch Intern
Chair of Computer Science II - Software Engineering

Publications

Publications of Chair of Software Engineering

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2024[ to top ]
  • CrowdGuard: Federated Backdoor Detection in Federated Learning. T. Krauß; P. Rieger; M. Miettinen; A. Dmitrienko; A.-R. Sadeghi; in To appear soon at the Network and Distributed System Security Symposium (NDSS) (2024).
  • MirageFlow: A New Bandwidth Inflation Attack on Tor. C. Sendner; J. Stang; A. Dmitrienko; R. Wijewickrama; M. Jadliwala; in To appear soon at the Network and Distributed System Security Symposium (NDSS) (2024).
  • Automatic Adversarial Adaption for Stealthy Poisoning Attacks in Federated Learning. T. Krauß; J. König; A. Dmitrienko; C. Kanzow; in To appear soon at the Network and Distributed System Security Symposium (NDSS) (2024).
  • Simulating Microservice-b...
    Simulating Microservice-based Architectures for Resilience Assessment Enriched by Authentic Container Orchestration. S. Frank; M. Straesser; L. Wagner; P. Haas; A. Hakamian; S. Kounev; A. Van Hoorn; in Software Engineering 2024 (2024).
  • Patient-Centered Chronic Wound Care Mobile Apps: Systematic Identification, Analysis, and Assessment. T. Dege; B. Glatzel; V. Borst; F. Grän; S. Goller; C. Glatzel; M. Goebeler; A. Schmieder; in JMIR mHealth and uHealth (2024).
    Preprint
  • Comprehensive Exploration of Synthetic Data Generation: A Survey. A. Bauer; S. and Trapp; M. and Stenger; R. and Leppich; S. and Kounev; M. and Leznik; K. and Chard; I. and Foster; in arXiv preprint (2024). 103.
    https://doi.org/10.48550/arXiv.2401.02524
  • FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning. H. Fereidooni; A. Pegoraro; P. Rieger; A. Dmitrienko; A.-R. Sadeghi; in To appear soon at the Network and Distributed System Security Symposium (NDSS) (2024).
2023[ to top ]
  • Kubernetes-in-the-Loop: E...
    Kubernetes-in-the-Loop: Enriching Microservice Simulation Through Authentic Container Orchestration. M. Straesser; P. Haas; S. Frank; A. Hakamian; A. Van Hoorn; S. Kounev; in Performance Evaluation Methodologies and Tools (2023).
    In print.
  • A literature review of Io...
    A literature review of IoT and CPS—What they are, and what they are not. V. Lesch; M. Züfle; A. Bauer; L. Iffländer; C. Krupitzer; S. Kounev; in Journal of Systems and Software (2023). 111631.
  • TorMult: Introducing a Novel Tor Bandwidth Inflation Attack. C. Sendner; J. Stang; A. Dmitrienko; R. Wijewickrama; M. Jadliwala; in ArXiv | arXiv.2307.08550 (2023).
  • Serverless Computing Revisited: Evolution, State-of-the-Art, and Performance Challenges S. Kounev; (2023).
    Joint Keynote at ICPE 2023 Workshops: LTB 2023 und FastContinuum 2023
  • Autoscaler Evaluation and...
    Autoscaler Evaluation and Configuration: A Practitioner’s Guideline. M. Straesser; S. Eismann; J. von Kistowski; A. Bauer; S. Kounev; in Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering (2023). 31–41.
  • G-Scan: Graph Neural Networks for Line-Level Vulnerability Identification in Smart Contracts. C. Sendner; R. Zhang; A. Hefter; A. Dmitrienko; F. Koushanfar; in arXiv:2307.08549 (2023).
  • Towards Simulation-Driven...
    Towards Simulation-Driven Optimization of Container Orchestration Mechanisms T. Dittus; M. Straesser; S. Kounev; (2023).
  • Recommendation of Secure Group Communication Schemes using Multi Objective Optimization. T. Prantl; A. Bauer; L. Iffländer; C. Krupitzer; S. Kounev; in International Journal of Information Security (2023).
  • ExDe: Design space exploration of scheduler architectures and mechanisms for serverless data-processing. S. Talluri; N. Herbst; C. Abad; T. De Matteis; A. Iosup; in Future Generation Computer Systems (2023).
    https://www.sciencedirect.com/science/article/pii/S0167739X23004211
  • Searching for the Ground ...
    Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs. A. Bauer; M. Straesser; M. Leznik; L. Beierlieb; M. Hadry; N. Hudson; K. Chard; S. Kounev; I. Foster; in Companion of the 2023 ACM/SPEC International Conference on Performance Engineering (2023). 95–99.
  • Generating Microservice A...
    Generating Microservice Applications for Performance Benchmarking Y. Lubas; M. Straesser; S. Kounev; (2023).
  • Performance Impact Analysis of Homomorphic Encryption: A Case Study Using Linear Regression as an Example. T. Prantl; S. Engel; L. Horn; D. Kaiser; L. Iffländer; A. Bauer; C. Krupitzer; S. Kounev; in Information Security Practice and Experience, W. Meng, Z. Yan, V. Piuri (eds.) (2023). 284–298.
  • Challenges and Future Directions in Efficiency Benchmarking (Vision Paper). M. Meissner; K.-D. Lange; S. Sharma; J. Arnold; A. Cragin; P. Galizia; M. Petrich; B. Zhang; S. Kounev; in Companion of the 2023 ACM/SPEC International Conference on Performance Engineering (2023). 51–55.
  • MESAS: Poisoning Defense for Federated Learning Resilient against Adaptive Attackers. K. Torsten; D. Alexandra; in To appear soon at the ACM Conference on Computer and Communications Security (CCS) (2023).
  • Power to the Applications...
    Power to the Applications: The Vision of Continuous Decentralized Autoscaling. M. Straesser; S. Geißler; T. Hoßfeld; S. Kounev; in 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) (2023). 281–283.
  • Deep Neural Network Regression for Normalized Digital Surface Model Generation with Sentinel-2 Imagery. K. Müller; R. Leppich; C. Geiß; V. Borst; P. A. Pelizari; S. Kounev; in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023). 1–14.
  • Metadata-based Malware Detection on Android using Machine Learning. A. Hefter; C. Sendner; A. Dmitrienko; in ArXiv | arXiv.2307.08547 (2023).
  • CROSSCON: Interoperable IoT Security Stack - The RISC-V Opportunity. S. Pinto; M. Breskvar; T. Gomes; H. Koshutanski; A. Pasic; P. Krol; E. Amri; D. Puron; Z. Hornak; M. Rovieri; A. Dmitrienko; A.-R. Sadeghi; B. Crispo; (2023).
  • Performance Engineering o...
    Performance Engineering of Serverless Applications and Platforms. S. Eismann; Thesis; Universität Würzburg. (2023).
  • An Empirical Study of Con...
    An Empirical Study of Container Image Configurations and Their Impact on Start Times. M. Straesser; A. Bauer; R. Leppich; N. Herbst; K. Chard; I. Foster; S. Kounev; in 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (2023). 94–105.
  • SPEC Research Group Newsl...
    SPEC Research Group Newsletter, Issue 12. S. Kounev; A. van Hoorn; M. Straesser; A. Bauer; (2023, April).
    Published by Standard Performance Evaluation Corporation (SPEC)
  • De Bello Homomorphico: Investigation of the extensibility of the OpenFHE library with basic mathematical functions by means of common approaches using the example of the CKKS cryptosystem. T. Prantl; L. Horn; S. Engel; L. Iffländer; L. Beierlieb; C. Krupitzer; A. Bauer; M. Sakarvadia; I. Foster; S. Kounev; in International Journal of Information Security (2023).
  • A Systematic Approach for...
    A Systematic Approach for Benchmarking of Container Orchestration Frameworks. M. Straesser; J. Mathiasch; A. Bauer; S. Kounev; in Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering (2023). 187–198.
  • ClearMark: Intuitive and Robust Model Watermarking via Transposed Model Training. T. Krauß; J. Stang; D. Alexandra; in ArXiv | arXiv:2310.16453v1 (2023).
  • Self-Aware Optimization of Adaptation Planning Strategies. V. Lesch; M. Hadry; C. Krupitzer; S. Kounev; in ACM Transactions on Autonomous and Adaptive Systems (2023). 18(3)
  • MVNOCoreSim: A Digital Twin for Virtualized IoT-centric Mobile Core Networks. S. Geissler; F. Wamser; W. Bauer; S. Gebert; S. Kounev; T. Hossfeld; in IEEE Internet of Things (2023). 10(15) 13974–13987.
  • Serverless Computing: Wha...
    Serverless Computing: What It Is, and What It Is Not?. S. Kounev; N. Herbst; C. L. Abad; A. Iosup; I. Foster; P. Shenoy; O. Rana; A. A. Chien; in Commun. ACM (2023). 66(9) 80–92.
  • Adversarial Training in Federated Learning using Constrained Optimization Methods. J. König; Thesis; University of Würzburg. (2023, May).
  • Segmentierung und Verlauf...
    Segmentierung und Verlaufskontrolle chronischer Wunden durch künstliche Intelligenz mithilfe einer mobilen App (WUNDERKINT Studie). V. Borst; T. Dege; F. Grän; S. Hamrouni; D. Michel; V. Hager; M. Goebeler; R. Leppich; S. Kounev; A. Schmieder; in Allergologie. JDDG: Journal der Deutschen Dermatologischen Gesellschaft (2023). (Vol. 21) 28–177.
    Poster Abstract (No. P322, pp. 175-176)
  • Challenges in the development of the EO Exploitation Platform terrabyte. J. Eberle; M. Schwinger; J. Zeidler; in Big Data from Space, P. Soille, S. Lumnitz, S. Albani (eds.) (2023). 97–100.
  • Optimizing storage assign...
    Optimizing storage assignment, order picking, and their interaction in mezzanine warehouses. V. Lesch; P. B. Müller; M. Krämer; M. Hadry; S. Kounev; C. Krupitzer; in Applied intelligence (2023). 25.
  • A Trace-driven Performanc...
    A Trace-driven Performance Evaluation of Hash-based Task Placement Algorithms for Cache-enabled Serverless Computing. S. Talluri; N. Herbst; C. Abad; A. Trivedi; A. Iosup; in 2023 ACM International Conference on Computing Frontiers (CF ’23) (2023).
  • AuthentiSense: A Scalable Behavioral Biometrics Authentication Scheme using Few-Shot Learning for Mobile Platforms. H. Fereidooni; J. König; P. Rieger; M. Chilese; M. Finke; B. Goekbakan; A. Dmitrienko; A.-R. Sadeghi; in To appear at the Network and Distributed System Security Symposium (NDSS) (2023).
  • Towards a Cryptography Encyclopedia: A Survey on Attribute-Based Encryption. T. Prantl; T. Zeck; L. Horn; L. Iffländer; A. Bauer; A. Dmitrienko; C. Krupitzer; S. Kounev; in Journal of Surveillance, Security and Safety (2023).
  • Security of NVMe Offloaded Data in Large-Scale Machine Learning. T. Krauß; G. Raphael; A. Dmitrienko; in To appear soon at the European Symposium on Research in Computer Security (ESORICS) (2023).
  • Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß; A. Dmitrienko; (2023).
  • Telescope: An Automated H...
    Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field. A. Bauer; M. Leznik; M. Stenger; R. Leppich; N. Herbst; S. Kounev; I. Foster; (2023).
  • Association between Postoperative Atrial Fibrillation Recurrences and Interatrial Block by the Time of Open-Heart Surgery. S. Leiler; J. Kalisnik; R. Bernik; A. Bauer; V. Günzler; P. Sluet; S. Kounev; T. Fischlein; in The Thoracic and Cardiovascular Surgeon (2023). 71(S 01) DGTHG-V130.
  • Smarter Contracts: Detecting Vulnerabilities in Smart Contracts with Deep Transfer Learning. C. Sendner; H. Chen; H. Fereidooni; L. Petzi; J. König; J. Stang; A. Dmitrienko; A.-R. Sadeghi; F. Koushanfar; in To appear at the Network and Distributed System Security Symposium (NDSS) (2023).
2022[ to top ]
  • Ransomware Detection in Databases through Dynamic Analysis of Query Sequences. C. Sendner; L. Iffländer; S. Schindler; M. Jobst; A. Dmitrienko; S. Kounev; in 2022 IEEE Conference on Communications and Network Security (CNS) (2022).
  • CortexVR: Immersive analy...
    CortexVR: Immersive analysis and training of cognitive executive functions of soccer players using virtual reality and machine learning. C. Krupitzer; J. Naber; J.-P. Stauffert; J. Mayer; J. Spielmann; P. Ehmann; N. Boci; M. Bürkle; A. Ho; C. Komorek; F. Heinickel; S. Kounev; C. Becker; M. E. Latoschik; in Frontiers in Psychology (2022). 5139.
  • Investigating the Predictability of QoS Metrics in Cellular Networks. S. Herrnleben; J. Grohmann; V. Lesch; T. Prantl; F. Metzger; T. Hoßfeld; S. Kounev; in 2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS) (2022). 1–10.
  • Retrospektive Analyse ausgewählter Belastungs-und Beanspruchungsparameter einer professionellen Fußball-mannschaft vor und während coronabedingter Kontakt-beschränkungen in der Spielsaison 2019/20. P. Kunz; P. Düking; R. Leppich; J. Lachmann; B. Sperlich; in Leipziger Sportwissenschaftliche Beiträge Jahrgang 63 (2022 Heft 1 (2022). 75.
  • Towards a Cryptography Benchmark: A View on Attribute Based Encryption Schemes. T. Prantl; T. Zeck; L. Iffländer; L. Beierlieb; A. Dmitrenko; C. Krupitzer; S. Kounev; in 2022 5th Conference on Cloud and Internet of Things (CIoT) (2022).
  • Leveraging Kubernetes Source Code for Performance Simulation M. Straesser; P. Haas; (2022).
  • SCRAPS: Scalable Collective Remote Attestation for Pub-Sub IoT Networks with Untrusted Proxy Verifier L. Petzi; A. E. Ben Yahya; A. Dmitrienko; G. Tsudik; T. Prantl; S. Kounev; (2022). (Vol. USENIX Security ’22)
    Coming Soon
  • Contact Discovery in Mobile Messengers: Low-cost Attacks, Quantitative Analyses, and Efficient Mitigations. C. Hagen; C. Weinert; C. Sendner; A. Dmitrienko; T. Schneider; in ACM Transactions on Privacy and Security (2022).
    (to appear)
  • Accuracy and Systematic Biases of Heart Rate Measurements by Consumer-Grade Fitness Trackers in Postoperative Patients: Prospective Clinical Trial. P. Helmer; S. Hottenrott; P. Rodemers; R. Leppich; M. Helwich; R. Pryss; P. Kranke; P. Meybohm; B. E. Winkler; M. Sammeth; in Journal of Medical Internet Research (2022). 24(12) e42359.
  • ICPE ’22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9 - 13, 2022, Companion Volume D. Feng; S. Becker; N. Herbst; P. Leitner; (D. Feng; S. Becker; N. Herbst; P. Leitner, eds.) (2022). ACM.
  • The State of Serverless A...
    The State of Serverless Applications: Collection, Characterization, and Community Consensus. S. Eismann; J. Scheuner; E. van Eyk; M. Schwinger; J. Grohmann; N. Herbst; C. Abad; A. Iosup; in Transactions on Software Engineering (2022). 48(10) 4152–4166.
  • Same, Same, but Dissimila...
    Same, Same, but Dissimilar: Exploring Measurements for Workload Time-Series Similarity. M. Leznik; J. Grohmann; N. Kliche; A. Bauer; D. Seybold; S. Eismann; S. Kounev; J. Domaschka; in Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering (2022). 89–96.
  • Close the Gate: Detecting Backdoored Models in Federated Learning based on Client-Side Deep Layer Output Analysis. P. Rieger; T. Krauß; M. Miettinen; A. Dmitrienko; A.-R. Sadeghi; in ArXiv | arXiv:2210.07714 (2022).
  • A data-driven Sensor Model for LIDAR Range Measurements used for Mobile Robot Navigation. F. Spiess; N. Strobel; T. Kaupp; S. Kounev; in Proceedings of the IEEE IRC 2022 Conference (2022).
  • MiSim: A Simulator for Resilience Assessment of Microservice-based Architectures. S. Frank; L. Wagner; A. Hakamian; M. Straesser; A. van Hoorn; in 2022 IEEE 22nd International Conference on Software Quality, Reliability and Security (QRS) (2022). 1014–1025.
  • ICPE ’22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9 - 13, 2022 D. Feng; S. Becker; N. Herbst; P. Leitner; (D. Feng; S. Becker; N. Herbst; P. Leitner, eds.) (2022). ACM.
  • A Survey on Secure Group Communication Schemes with Focus on IoT Communication. T. Prantl; T. Zeck; A. Bauer; P. Ten; D. Prantl; A. E. Ben Yahya; L. Iffländer; A. Dmitrienko; C. Krupitzer; S. Kounev; in IEEE Access (2022).
    Accepted but not yet published
  • Proactive Critical Event ...
    Proactive Critical Event Prediction based on Monitoring Data with Focus on Technical Systems. M. O. Züfle; Thesis; Universität Würzburg. (2022).
  • Why Is It Not Solved Yet?...
    Why Is It Not Solved Yet? Challenges for Production-Ready Autoscaling. M. Straesser; J. Grohmann; J. von Kistowski; S. Eismann; A. Bauer; S. Kounev; in Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering (2022). 105–115.
  • Retrospective Analysis of Training Intensity Distribution Based on Race Pace Versus Physiological Benchmarks in Highly Trained Sprint Kayakers. M. Matzka; R. Leppich; B. Sperlich; C. Zinner; in Sports Medicine-Open (2022). 8(1) 1–12.
  • Identification of clinically distinct and prognostically important phenogroups in patients with acute heart failure by a machine learning approach. J. J. Albert; R. Leppich; V. Borst; F. Sahiti; N. Scholz; V. Cejka; C. Morbach; G. Ertl; C. Angermann; S. Frantz; others; in EUROPEAN JOURNAL OF HEART FAILURE (2022). (Vol. 24) 179–179.
  • Self-Aware Optimization of Cyber-Physical Systems in Intelligent Transportation and Logistics Systems. V. Lesch; Thesis; Universität Würzburg. (2022, April).
  • Measurement, Modeling, and Emulation of Power Consumption of Distributed Systems. N. Schmitt; (2022, June).
  • Digital Contact Tracing Solutions: Promises, Pitfalls and Challenges. N. Thien Duc; M. Markus; D. Alexandra; S. Ahmad-Reza; V. Ivan; in ArXiv I arXiv 2202.06698v2 (2022).
  • Automated Triage of Perfo...
    Automated Triage of Performance Change Points Using Time Series Analysis and Machine Learning. A. Bauer; M. Straesser; L. Beierlieb; M. Meissner; S. Kounev; in Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering (2022).
  • SPEC Research Group Newsl...
    SPEC Research Group Newsletter, Issue 11. S. Kounev; A. van Hoorn; M. Straesser; A. Bauer; (2022, April).
    Published by Standard Performance Evaluation Corporation (SPEC)
  • FADE: Towards Flexible an...
    FADE: Towards Flexible and Adaptive Distance Estimation Considering Obstacles. M. Hadry; V. Lesch; S. Kounev; in Companion of the 13th ACM/SPEC International Conference on Performance Engineering (ICPE 2022) (2022).
  • Change Point Detection for MongoDB Time Series Performance Regression. M. Leznik; M. S. Iqbal; I. A. Trubin; A. Lochner; P. Jamshidi; A. Bauer; in Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering (2022).
  • SPEC Research - Introduci...
    SPEC Research - Introducing the Predictive Data Analytics Working Group. A. Bauer; M. Leznik; D. Seybold; I. Trubin; B. Erb; J. Domaschka; P. Jamshidi; in Companion of the 2022 ACM/SPEC on International Conference on Performance Engineering (2022).
  • SPEC Research - Introducing the Predictive Data Analytics Working Group. A. Bauer; M. Leznik; D. Seybold; I. Trubin; B. Erb; J. Domaschka; P. Jamshidi; in Companion of the 2022 ACM/SPEC International Conference on Performance Engineering (2022).
  • The Relationship Between the Distribution of Training Intensity and Performance of Kayak and Canoe Sprinters: A Retrospective Observational Analysis of One Season of Competition. M. Matzka; R. Leppich; H.-C. Holmberg; B. Sperlich; C. Zinner; in Frontiers in Sports and Active Living (2022). 3 788108.
  • SPEC Efficiency Benchmark...
    SPEC Efficiency Benchmark Development: How to Contribute to the Future of Energy Conservation. M. Meissner; K.-D. Lange; J. Arnold; S. Sharma; R. Tipley; N. Rawtani; D. Reiner; M. Petrich; A. Cragin; in Companion of the 2022 ACM/SPEC International Conference on Performance Engineering (2022).
  • Model Learning for Perfor...
    Model Learning for Performance Prediction of Cloud-native Microservice Applications. J. Grohmann; Thesis; Universität Würzburg. (2022, March).
    Distinction
  • An Experience Report on the Suitability of a Distributed Group Encryption Scheme for an IoT Use Case. T. Prantl; S. Engel; A. Bauer; A. E. Ben Yahya; S. Herrnleben; L. Iffländer; A. Dmitrienko; S. Kounev; in 2022 IEEE 95th Vehicular Technology Conference (VTC2022) (2022).
  • FedCRI: Federated Mobile Cyber-Risk Intelligence. H. Fereidooni; A. Dmitrienko; F. Madlener; P. Rieger; M. Miettinen; A.-R. Sadeghi; in The Network and Distributed System Security Symposium (NDSS) (2022).
    (to appear)
  • Towards Forecasting Future Snow Cover Dynamics in the European Alps - The Potential of Long Optical Remote-Sensing Time Series. J. Koehler; A. Bauer; A. J. Dietz; C. Kuenzer; in Remote Sensing (2022). 14(18)
  • Edge Workload Trace Gathering and Analysis for Benchmarking. K. Toczé; N. Schmitt; U. Kargén; A. Aral; I. Brandi’c}}; in 2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC) (2022). 34–41.
  • A literature review on op...
    A literature review on optimization techniques for adaptation planning in adaptive systems: State of the art and research directions. E. Henrichs; V. Lesch; M. Straesser; S. Kounev; C. Krupitzer; in Information and Software Technology (2022). 149 106940.
  • A case study on the stabi...
    A case study on the stability of performance tests for serverless applications. S. Eismann; D. Costa; L. Liao; C.-P. Bezemer; W. Shang; A. van Hoorn; S. Kounev; in Journal of Systems and Software (JSS) (2022). 189
  • Experience and Guidelines for Sorting Algorithm Choices and Their Energy Efficiency. M. Meissner; S. Kamthania; N. Rawtani; J. Bucek; K.-D. Lange; S. Kounev; in Companion of the 2022 ACM/SPEC International Conference on Performance Engineering (2022).
2021[ to top ]
  • An Overview on Approaches...
    An Overview on Approaches for Coordination of Platoons. V. Lesch; M. Breitbach; M. Segata; C. Becker; S. Kounev; C. Krupitzer; in IEEE Transactions on Intelligent Transportation Systems (2021).
    Early Access on IEEE Xplore
  • Teaching Software Testing Using Automated Grading. L. Beierlieb; L. Iffländer; T. Schneider; T. Prantl; S. Kounev; in Proceedings of the Fifth Workshop "Automatische Bewertung von Programmieraufgaben" (ABP 2021),virtual event, October 28-29, 2021, A. Greubel, S. Strickroth, M. Striewe (eds.) (2021).
  • Increasing Security in Satellite Networks. K. Schilling; A. Dmitrienko; in 72nd International Astronautical Congress (IAC) (2021).
  • ComBench: A Benchmarking...
    ComBench: A Benchmarking Framework for Publish/Subscribe Communication Protocols Under Network Limitations. S. Herrnleben; M. Leidinger; V. Lesch; T. Prantl; J. Grohmann; C. Krupitzer; S. Kounev; in Performance Evaluation Methodologies and Tools, Q. Zhao, L. Xia (eds.) (2021). 72–92.
  • Tackling the Rich Vehicle Routing Problem with Nature-Inspired Algorithms. V. Lesch; M. König; S. Kounev; A. Stein; C. Krupitzer; in Applied Intelligence (2021). 52 9476–9500.
  • RIP StrandHogg: A Practical StrandHogg Attack Detection Method on Android. J. Stang; A. Dmitrienko; S. Roth; in 14th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) (2021).
  • The Science of Systems Be...
    The Science of Systems Benchmarking S. Kounev; (2021).
  • A Machine Learning-based Workflow for Automatic Detection of Anomalies in Machine Tools. M. Züfle; F. Moog; V. Lesch; C. Krupitzer; S. Kounev; in ISA Transactions: The Journal of Automation (2021).
    (in press)
  • Recommendations for Data-Driven Degradation Estimation with Case Studies from Manufacturing and Dry-Bulk Shipping. N. Finke; M. Mohr; A. Lontke; M. Züfle; S. Kounev; R. Möller; in Research Challenges in Information Science (RCIS) (2021). 189–204.
  • Establishing a cardiac training group for patients with heart failure: the “HIP-in-Würzburg” study. G. Güder; J. Wilkesmann; N. Scholz; R. Leppich; P. Düking; B. Sperlich; C. Rost; S. Frantz; C. Morbach; F. Sahiti; others; in Clinical Research in Cardiology (2021). 1–10.
  • Towards Situation-Aware M...
    Towards Situation-Aware Meta-Optimization of Adaptation Planning Strategies. V. Lesch; T. Noack; J. Hefter; S. Kounev; C. Krupitzer; in Proceedings of the 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems - ACSOS 2021 (2021).
    Best Paper Award Runner Up, Full Paper Acceptance Ratio: 25%
  • A New Course on Systems B...
    A New Course on Systems Benchmarking-For Scientists and Engineers S. Kounev; (2021). 127–127.
  • Sound Smart Contract Security Testing with Just One Tool. A. Dmitrienko; H. Chen; H. Fereidooni; C. Sendner; A.-R. Sadeghi; F. Koushanfar; in CyberSec&AI 2021 (2021).
  • Machine Learning Model Update Strategies for Hard Disk Drive Failure Prediction. M. Züfle; F. Erhard; S. Kounev; in 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2021).
    (to appear)
  • Benchmarking of Pre- and Post-Quantum Group Encryption Schemes with Focus on IoT. T. Prantl; D. Prantl; A. Bauer; L. Iffländer; A. Dmitrenko; C. Krupitzer; S. Kounev; in 2021 IEEE 40th International Performance Computing and Communications Conference (IPCCC) (2021).
  • The integration of training and off-training activities substantially alters training volume and load analysis in elite rowers. G. Treff; R. Leppich; K. Winkert; J. M. Steinacker; B. Mayer; B. Sperlich; in Scientific reports (2021). 11(1) 1–10.
  • Automatisierte Hybride Zeitreihenprognose. A. Bauer; in Ausgezeichnete Informatikdissertationen 2020, S. Hölldobler (ed.) (2021). 29–38.
  • Auswirkungen der COVID-19-Pandemie auf Sportlerinnen und Sportler in Deutschland. C. Zinner; M. Matzka; R. Leppich; S. Kounev; H.-C. Holmberg; B. Sperlich; in 53. asp Jahrestagung (2021).
  • Serverless Computing (Dagstuhl Seminar 21201). C. Abad; I. T. Foster; N. Herbst; A. Iosup; in Dagstuhl Reports, (C. Abad; I. T. Foster; N. Herbst; A. Iosup, eds.) (2021). 11(4) 34–93.
  • A Case Study on Optimizat...
    A Case Study on Optimization of Warehouses V. Lesch; P. B. Müller; M. Krämer; S. Kounev; C. Krupitzer; (2021).
  • A Case Study of Vehicle R...
    A Case Study of Vehicle Route Optimization V. Lesch; M. König; S. Kounev; A. Stein; C. Krupitzer; (2021).
  • Container Start Times: Em...
    Container Start Times: Empirical Analysis and Predictability M. Straesser; (2021).
  • A Case Study on Optimization of Warehouses. V. Lesch; P. Müller; M. Krämer; S. Kounev; C. Krupitzer; in arXiv preprint arXiv:2112.12058 (2021).
  • Software Testing Strategies for Detecting Hypercall Handlerstextquotesingle Aging-related Bugs. L. Beierlieb; A. Avritzer; L. Ifflander; N. Antunes; A. Milenkoski; S. Kounev; in 2021 IEEE International Symposium on Software Reliability Engineering Workshops ({ISSREW}) (2021).
  • Automated Hybrid Time Series Forecasting: Design, Benchmarking, and Use Cases. A. Bauer; Thesis; Universität Würzburg. (2021).
  • Systems Benchmarking S. Kounev; (2021).
  • A Case Study on Optimizat...
    A Case Study on Optimization of Platooning Coordination V. Lesch; M. Hadry; S. Kounev; C. Krupitzer; (2021).
  • Vision: Challenges & Opportunities. M. Annaaram; N. Asokan; B. G. Atli; S. Avestimeh; F. Brasser; R. Cammarota; A. Dmitrienko; A. Dziedzic; T. Given-Wilson; L. J. Gunn; F. Kerschbaum; F. Koushanfar; A. Legay; M. Miettinen; T. D. Nguyen; N. Papernot; A.-R. Sadeghi; M. Schunter; R. Shokri; V. Smith; in Vision Paper of the Private AI Collaborative Research Institute (2021).
  • Performance Impact Analysis of Securing MQTT Using TLS. T. Prantl; L. Iffländer; S. Herrnleben; S. Engel; S. Kounev; C. Krupitzer; in 2021 ACM/SPEC International Conference on Performance Engineering (ICPE) (2021).
  • People Detection with Depth Silhouettes and Convolutional Neural Networks on a Mobile Robot. F. Spiess; L. Reinhart; N. Strobel; D. Kaiser; S. Kounev; T. Kaupp; in Journal of Image and Graphics, (J. of Image; Graphics, eds.) (2021). 9(4) 135–139.
  • Towards a Mobile Robot Localization Benchmark with Challenging Sensordata in an Industrial Environment. F. Spiess; J. Friesslich; D. Bluemm; F. Mast; D. Vinokour; S. Kounev; T. Kaupp; N. Strobel; in 2021 20th International Conference on Advanced Robotics (ICAR) (2021). 857–864.
  • Serverless Applications:W...
    Serverless Applications:Why, When, and How?. S. Eismann; S. Joel; E. van Eyk; M. Schwinger; J. Grohmann; N. Herbst; C. Abad; A. Iosup; in IEEE Software (2021). 38(1) 32–39.
  • Towards Splitting Monolithic Workflows into Serverless Functions and Estimating Their Run-Time in the Earth Observation Domain. D. Kaiser; B. Dovhan; A. Bauer; S. Kounev; in Proceedings of the 12th Symposium on Software Performance (SSP) (2021).
    Extended Abstract
  • Measuring the Performance Impact of Branching Instructions. L. Beierlieb; L. Iffländer; A. Milenkoski; T. Prantl; S. Kounev; in Proceedings of the 12th Symposium on Software Performance 2021 (SSP’21) (2021).
  • Security and Privacy Aspects of Digital Contact Tracing. F. Roos; Thesis; University of Würzburg. (2021, October).
  • A Simulation-based Optimi...
    A Simulation-based Optimization Framework for Online Adaptation of Networks. S. Herrnleben; J. Grohmann; P. Rygielski; V. Lesch; C. Krupitzer; S. Kounev; in Proceedings of the 12th EAI International Conference on Simulation Tools and Techniques (SIMUtools), H. Song, D. Jiang (eds.) (2021). 513–532.
  • A Predictive Maintenance ...
    A Predictive Maintenance Methodology: Predicting the Time-to-Failure of Machines in Industry 4.0. M. Züfle; J. Agne; J. Grohmann; I. Dörtoluk; S. Kounev; in Proceedings of the 21st IEEE IES International Conference on Industrial Informatics (2021).
  • SARDE: A Framework for Co...
    SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation. J. Grohmann; S. Eismann; A. Bauer; S. Spinner; J. Blum; N. Herbst; S. Kounev; in ACM Transactions on Autonomous and Adaptive Systems (2021). 15(2)
  • Towards Scientific and Interoperable Earth Observation Exploitation Platforms. J. Eberle; M. Schwinger; H. Zwenzner; in Proceedings of the 2021 conference on Big Data from Space, P. Soille, S. Loekken, M. Albani (eds.) (2021). 89–92.
  • Scalable Processing Of Copernicus Sentinel satellite Images Using Argo Workflows. F. W. Fichtner; N. Mandery; M. Schwinger; J. Eberle; M. Nolde; T. Riedlinger; in Big Data from Space 2021 (2021). 77–80.
  • Towards a Group Encryption Scheme Benchmark: A View on Centralized Schemes with focus on IoT. T. Prantl; P. Ten; L. Iffländer; S. Herrnleben; A. Dmitrenko; S. Kounev; C. Krupitzer; in 2021 ACM/SPEC International Conference on Performance Engineering (ICPE) (2021).
  • Energy-Efficiency Comparison of Common Sorting Algorithms. N. Schmitt; S. Kamthania; N. Rawtani; L. Mendoza; K.-D. Lange; S. Kounev; in 2021 29th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) (2021). 1–8.
  • SPEC - Spotlight on the International Standards Group ({ISG}). N. Schmitt; K.-D. Lange; S. Sharma; A. Cragin; D. Reiner; S. Kounev; in Companion of the ACM/SPEC International Conference on Performance Engineering (2021).
  • Attack-aware Security Fun...
    Attack-aware Security Function Management. L. Iffländer; Thesis; Universität Würzburg. (2021, January).
  • Libra: A Benchmark for Ti...
    Libra: A Benchmark for Time Series Forecasting Methods. A. Bauer; M. Züfle; S. Eismann; J. Grohmann; N. Herbst; S. Kounev; in Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE) (2021).
  • Sizeless: Predicting the ...
    Sizeless: Predicting the Optimal Size of Serverless Functions. S. Eismann; L. Bui; J. Grohmann; C. Abad; N. Herbst; S. Kounev; in Proceedings of the 22nd International MIDDLEWARE Conference (2021). 248–259.
    Best Student Paper Award, ACM Artifacts Evaluated — Functional
  • Performance Evaluation of a Post-Quantum Public-Key Cryptosystem. T. Prantl; D. Prantl; L. Beierlieb; L. Iffländer; A. Dmitrienko; C. Krupitzer; S. Kounev; in 2021 IEEE 40th International Performance Computing and Communications Conference (IPCCC) (2021).
  • Buzzy: Towards Realistic ...
    Buzzy: Towards Realistic DBMS Benchmarking via Tailored, Representative, Synthetic Workloads. J. Domaschka; S. Eismann; M. Leznik; J. Grohmann; S. Kounev; D. Seybold; in Companion of the ACM/SPEC International Conference on Performance Engineering (2021). (Vol. ICPE ’21) 175–178.
  • All the Numbers are US: Large-scale Abuse of Contact Discovery in Mobile Messengers. C. Hagen; C. Weinert; C. Sendner; A. Dmitrienko; T. Schneider; in Network and Distributed System Security Symposium (NDSS) (2021).
    (To Appear)
  • Remote Attestation for IoT with Smart Verifier. L. Petzi; Thesis; University of Würzburg. (2021, January).
  • A Comparison of Mechanism...
    A Comparison of Mechanisms for Compensating Negative Impacts of System Integration. V. Lesch; C. Krupitzer; K. Stubenrauch; N. Keil; C. Becker; S. Kounev; M. Segata; in Future Generation Computer Systems (2021). 116 117–131.
  • Utility-based Vehicle Rou...
    Utility-based Vehicle Routing Integrating User Preferences. V. Lesch; M. Hadry; S. Kounev; C. Krupitzer; in Proceedings of 3rd International Workshop on Pervasive Computing for Vehicular Systems (PerVehicle), 2021 (2021).
  • ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning. O. Lutz; H. Chen; H. Fereidooni; C. Sendner; A. Dmitrienko; A. R. Sadeghi; F. Koushanfar; in ArXiv | arXiv:2103.12607v1 (2021).
  • SuanMing: Explainable Pre...
    SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications. J. Grohmann; M. Straesser; A. Chalbani; S. Eismann; Y. Arian; N. Herbst; N. Peretz; S. Kounev; in Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE) (2021).
    Acceptance Rate: 29%
  • SPEC Research Group Newsl...
    SPEC Research Group Newsletter, vol. 3 no. 2. S. Kounev; A. van Hoorn; A. Bauer; (2021, April).
    Published by Standard Performance Evaluation Corporation (SPEC)
2020[ to top ]
  • All the Numbers are US: Large-scale Abuse of Contact Discovery in Mobile Messengers. C. Hagen; C. Weinert; C. Sendner; A. Dmitrienko; T. Schneider; in Cryptology ePrint Archive, Report 2020/1119 (2020).
  • Incremental Calibration o...
    Incremental Calibration of Architectural Performance Models with Parametric Dependencies. M. Mazkatli; D. Monschein; J. Grohmann; A. Koziolek; in 2020 IEEE International Conference on Software Architecture (ICSA 2020) (2020). 23–34.
  • To Fail Or Not To Fail: P...
    To Fail Or Not To Fail: Predicting Hard Disk Drive Failure Time Windows. M. Züfle; C. Krupitzer; F. Erhard; J. Grohmann; S. Kounev; in Proceedings of the 20th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (2020). 19–36.
  • A Survey on Predictive Ma...
    A Survey on Predictive Maintenance for Industry 4.0 C. Krupitzer; T. Wagenhals; M. Züfle; V. Lesch; D. Schäfer; A. Mozaffarin; J. Edinger; C. Becker; S. Kounev; (2020).
  • A Survey on Human Machine...
    A Survey on Human Machine Interaction in Industry 4.0 C. Krupitzer; S. Müller; V. Lesch; M. Züfle; J. Edinger; A. Lemken; D. Schäfer; S. Kounev; C. Becker; (2020).
  • A Concept for Crowd-sensed Prediction of Mobile Network Connectivity. S. Herrnleben; B. Zeidler; M. Züfle; C. Krupitzer; S. Kounev; in GI/ITG Workshop on Machine Learning in the Context of Communication Networks 2020 (2020).
  • Towards Self-Aware Multir...
    Towards Self-Aware Multirotor Formations. D. Kaiser; V. Lesch; J. Rothe; M. Strohmeier; F. Spiess; C. Krupitzer; S. Montenegro; S. Kounev; in Computers (2020). 9(7)
    Special Issue on Self-Aware Computing
  • Elasticity of Cloud Platforms. N. Herbst; A. Bauer; S. Kounev; in Systems Benchmarking: For Scientists and Engineers, S. Kounev, K.-D. Lange, J. von Kistowski (eds.) (2020). 319–340.
  • REACT: A Model-Based Runt...
    REACT: A Model-Based Runtime Environment for Adapting Communication Systems. M. Pfannemüller; M. Breitbach; C. Krupitzer; M. Weckesser; C. Becker; B. Schmerl; A. Schürr; in Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2020) (2020).
  • Predicting the Costs of S...
    Predicting the Costs of Serverless Workflows. S. Eismann; J. Grohmann; E. van Eyk; N. Herbst; S. Kounev; in Proceedings of the 2020 ACM/SPEC International Conference on Performance Engineering (ICPE) (2020). 265–276.
    Acceptance Rate: 23.4% (15/64)
  • Toward a Framework for Self-Learning Adaptation Planning through Optimization. V. Lesch; in Organic Computing: Doctoral Dissertation Colloquium 2020 (2020).
  • Beyond Microbenchmarks: T...
    Beyond Microbenchmarks: The SPEC-RG Vision for A Comprehensive Serverless Benchmark. E. van Eyk; J. Scheuner; S. Eismann; C. Abad; A. Iosup; in Companion of the 2020 ACM/SPEC International Conference on Performance Engineering (2020).
  • Systems Benchmarking S. Kounev; K.-D. Lange; J. von Kistowski; (2020). (1st ed.) Springer International Publishing.
  • A Taxonomy of Techniques for SLO Failure Prediction in Software Systems. J. Grohmann; N. Herbst; A. Chalbani; Y. Arian; N. Peretz; S. Kounev; in Computers (2020). 9(1) 10.
  • Intra-individual physiological response of recreational runners to different training mesocycles: a randomized cross-over study. P. Düking; H.-C. Holmberg; P. Kunz; R. Leppich; B. Sperlich; in European Journal of Applied Physiology (2020). 1–9.
  • An Overview of Design Pat...
    An Overview of Design Patterns for Self-Adaptive Systems in the Context of the Internet of Things. C. Krupitzer; T. Temizer; T. Prantl; C. Raibulet; in IEEE Access (2020).
  • The impact of the German strategy for containment of Coronavirus SARS-CoV-2 on the training characteristics, physical activity, sleep of highly trained kayakers and canoeists: A retrospective observational study. C. Zinner; M. Matzka; R. Leppich; S. Kounev; H. Holmberg; B. Sperlich; in Frontiers in Sports and Active Living (2020). 2 127.
  • Learning to Learn in Coll...
    Learning to Learn in Collective Adaptive Systems: Mining Design Pattern for Data-driven Reasoning. M. D’Angelo; S. Ghahremani; S. Gerasimou; J. Grohmann; I. Nunes; S. Tomforde; E. Pournaras; in 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) (2020). 121–126.
  • LegIoT: Ledgered Trust Management Platform for IoT. J. Neureither; A. Dmitrienko; D. Koisser; F. Brasser; A.-R. Sadeghi; in European Symposium on Research in Computer Security (ESORICS) (2020).
  • Quantifying measurement q...
    Quantifying measurement quality and load distribution in Tor. A. Greubel; S. Pohl; S. Kounev; in Proceedings of the 36th Annual Computer Security Applications Conference (ACSAC 2020) (2020).
  • SIMPL: Secure IoT Managem...
    SIMPL: Secure IoT Management Platform. T. Prantl; A. E. Ben Yahya; A. Dmitrienko; S. Kounev; F. Lipp; D. Hock; C. Rathfelder; M. Hofherr; in ITG Workshop on IT Security (ITSec) (2020).
  • Methodological Principles...
    Methodological Principles for Reproducible Performance Evaluation in Cloud Computing. A. V. Papadopoulos; L. Versluis; A. Bauer; N. Herbst; J. von Kistowski; A. Ali-Eldin; C. L. Abad; J. N. Amaral; P. Tuma; A. Iosup; in Software Engineering 2020, Fachtagung des GI-Fachbereichs Softwaretechnik, 24.-28. Februar 2020, Innsbruck, Austria, M. Felderer, W. Hasselbring, R. Rabiser, R. Jung (eds.) (2020). (Vol. P-300) 93–94.
  • Model-based Performance P...
    Model-based Performance Predictions for SDN-based Networks: A Case Study. S. Herrnleben; P. Rygielski; J. Grohmann; S. Eismann; T. Hossfeld; S. Kounev; in Proceedings of the 20th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (2020).
  • Predicting Performance De...
    Predicting Performance Degradations of Black-box Microservice Applications M. Straesser; (2020).
  • Microservices: A Performa...
    Microservices: A Performance Tester’s Dream or Nightmare?. S. Eismann; C.-P. Bezemer; W. Shang; D. Okanovic; A. van Hoorn; in Proceedings of the 2020 ACM/SPEC International Conference on Performance Engineering (ICPE) (2020).
    Acceptance Rate: 23.4% (15/64), ACM Artifacts Evaluated — Functional
  • Mind the GAP: Security & Privacy Risks of Contact Tracing Apps. L. Baumgärtner; A. Dmitrienko; B. Freisleben; J. Höchst; M. Mezini; M. Miettinen; T. D. Nguyen; A. Penning; F. Roos; A.-R. Sadeghi; M. Schwarz; C. Uhl; (2020).
    Accepted to TrustCom 2020, Security Track
  • SPEC Research Group Newsl...
    SPEC Research Group Newsletter, vol. 3 no. 1. S. Kounev; A. van Hoorn; A. Bauer; N. Herbst; (2020, April).
    Published by Standard Performance Evaluation Corporation (SPEC)
  • Understanding UI attacks on Android. S. Jasper; (2020, December).
  • Contact Tracing by Giant Data Collectors: Opening Pandora’s Box of Threats to Privacy, Sovereignty and National Security A. Boutet; C. Castelluccia; M. Cunche; A. Dmitrienko; V. Iovino; M. Miettinen; T. D. Nguyen; V. Roca; A.-R. Sadeghi; S. Vaudenay; I. Visconti; M. Vuagnoux; (2020).
  • Survey and Experimental Comparison of RGB-D Indoor Robot Navigation Methods Supported by ROS and Their Expansion via Fusion with Wheel Odometry and IMU Data. F. Spiess; J. Friesslich; K. Tobias; S. Kounev; N. Strobel; in International Journal of Mechanical Engineering and Robotics Research (IJMERR), (P. R. (Chunhui) Yang, ed.) (2020). 9(12) 1532–1540.
  • Aggregatable Remote Attestation for IoT. V. Alistarov; Thesis; University of Würzburg. (2020, December).
  • Performance, Power, and Energy-Efficiency Impact Analysis of Compiler Optimizations on the SPEC CPU 2017 Benchmark Suite. N. Schmitt; J. Bucek; J. Beckett; A. Cragin; K.-D. Lange; S. Kounev; in 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC) (2020). 292–301.
  • Testbed for Security Testing of Smart Contracts. L. Denk; Thesis; University of Würzburg. (2020, November).
  • Evaluating the Performance of a State-of-the-Art Group-oriented Encryption Scheme for Dynamic Groups in an IoT Scenario. T. Prantl; P. Ten; L. Iffländer; A. Dmitrenko; S. Kounev; C. Krupitzer; in 2020 IEEE 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) (2020).
    Acceptance Rate: 27%
  • Baloo: Measuring and Mode...
    Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS. J. Grohmann; D. Seybold; S. Eismann; M. Leznik; S. Kounev; J. Domaschka; in 2020 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) (2020). 1–8.
    Acceptance Rate: 27%
  • Detection of Software Vulnerabilities in Smart Contracts using Deep Learning. O. Lutz; Thesis; University of Würzburg. (2020, October).
  • Optimizing Parametric Dep...
    Optimizing Parametric Dependencies for Incremental Performance Model Extraction. S. Voneva; M. Mazkatli; J. Grohmann; A. Koziolek; in Companion of the 14th European Conference Software Architecture (ECSA 2020), H. Muccini, P. Avgeriou, B. Buhnova, J. Cámara, M. Caporuscio, M. Franzago, A. Koziolek, P. Scandurra, C. Trubiani, D. Weyns, U. Zdun (eds.) (2020). (Vol. 1269) 228–240.
  • Introduction to the Speci...
    Introduction to the Special Issue ``Applications in Self-Aware Computing Systems and their Evaluation’’. C. Krupitzer; B. Eberhardinger; I. Gerostathopoulos; C. Raibulet; (2020).
  • A Framework for Time Seri...
    A Framework for Time Series Preprocessing and History-based Forecasting Method Recommendation. M. Züfle; S. Kounev; in Proceedings of the 15th Conference on Computer Science and Information Systems (FedCSIS): Data Mining Competition of the International Symposium on Advanced Artificial Intelligence in Applications (2020).
  • Mind the GAP: Security & Privacy Risks of Contact Tracing Apps. L. Baumgärtner; A. Dmitrienko; B. Freisleben; A. Gruler; J. Höchst; J. Kühlberg; M. Mezini; M. Miettinen; A. Muhamedagic; T. D. Nguyen; A. Penning; D. F. Pustelnik; F. Roos; A.-R. Sadeghi; M. Schwarz; C. Uhl; in ArXiv (2020).
  • An Automated Forecasting ...
    An Automated Forecasting Framework based on Method Recommendation for Seasonal Time Series. A. Bauer; M. Züfle; J. Grohmann; N. Schmitt; N. Herbst; S. Kounev; in Proceedings of the ACM/SPEC International Conference on Performance Engineering (2020). 48–55.
  • Telescope: An Automatic F...
    Telescope: An Automatic Feature Extraction and Transformation Approach for Time Series Forecasting on a Level-Playing Field. A. Bauer; M. Züfle; N. Herbst; S. Kounev; V. Curtef; in Proceedings of the 36th International Conference on Data Engineering (ICDE) (2020).
  • Strategies for the Security Assessment of IoT Devices by Certification Authorities. M. A. Finke; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2020, May).
  • Strategies for the Security Assessment of IoT Devices by Certification Authorities. M. A. Finke; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2020, May).
  • Energy Efficiency Analysi...
    Energy Efficiency Analysis of Compiler Optimizations on the SPEC CPU 2017 Benchmark Suite. N. Schmitt; J. Bucek; K.-D. Lange; S. Kounev; in Proceedings of the 11th ACM/SPEC International Conference on Performance Engineering (ICPE 2020) (2020).
  • A Review of Serverless Us...
    A Review of Serverless Use Cases and their Characteristics S. Eismann; J. Scheuner; E. van Eyk; M. Schwinger; J. Grohmann; N. Herbst; C. Abad; A. Iosup; (2020).
  • An IoT Network Emulator f...
    An IoT Network Emulator for Analyzing the Influence of Varying Network Quality. S. Herrnleben; R. Ailabouni; J. Grohmann; T. Prantl; C. Krupitzer; S. Kounev; in Proceedings of the 12th EAI International Conference on Simulation Tools and Techniques (SIMUtools) (2020).
  • Evaluating the Privacy of Contact Discovery. C. Sendner; Thesis; University of Würzburg. (2020, July).
  • Time Series Forecasting for Self-Aware Systems. A. Bauer; M. Züfle; N. Herbst; A. Zehe; A. Hotho; S. Kounev; in Proceedings of the IEEE (2020). 108(7) 1068–1093.
  • Towards a Self-Aware Prediction of Critical States. M. Züfle; in Organic Computing: Doctoral Dissertation Colloquium 2020, S. Tomforde, C. Krupitzer (eds.) (2020).
    (to appear)
2019[ to top ]
  • Integrating Statistical R...
    Integrating Statistical Response Time Models in Architectural Performance Models. S. Eismann; J. Grohmann; J. Walter; J. von Kistowski; S. Kounev; in Proceedings of the 2019 IEEE International Conference on Software Architecture (ICSA) (2019). 71–80.
    Acceptance Rate: 21,9% (21/96)
  • A survey on adaptive auth...
    A survey on adaptive authentication. P. Arias-Cabarcos; C. Krupitzer; C. Becker; in ACM Computing Surveys (2019). 52 Art. 80.
  • Beyond position-awareness...
    Beyond position-awareness -- Extending a self-adaptive fall detection system. C. Krupitzer; T. Sztyler; J. Edinger; M. Breitbach; H. Stuckenschmidt; C. Becker; in Pervasive and Mobile Computing (2019). 58
  • TeaStore - A Micro-Servic...
    TeaStore - A Micro-Service Application for Benchmarking, Modeling and Resource Management Research. S. Eismann; (2019, February).
  • Measuring, Rating, and Predicting the Energy Efficiency of Servers. J. von Kistowski; Thesis; University of Würzburg, Germany. (2019, March).
  • SPEC Research Group Newsl...
    SPEC Research Group Newsletter, vol. 2 no. 4. S. Kounev; A. van Hoorn; A. Bauer; N. Herbst; (2019, April).
    Published by Standard Performance Evaluation Corporation (SPEC)
  • Please Obey My Plan: How ...
    Please Obey My Plan: How to Optimise Decentralised Self-Adaptive Systems. V. Lesch; C. Krupitzer; S. Tomforde; (2019, April).
  • Methodological Principles for Reproducible Performance Evaluation in Cloud Computing - A SPEC Research Technical Report. (SPEC-RG-2019-04), A. V. Papadopoulos; L. Versluis; A. Bauer; N. Herbst; J. von Kistowski; A. Ali-Eldin; C. Abad; J. N. Amaral; P. Tuma; A. Iosup; (2019).
  • Die Mehrbelastung der Sicherheit im IoT mit neuen Techniken bewältigen. J. Stoll; L. Iffländer; (2019, April).
  • A Concept for an Adaptive...
    A Concept for an Adaptive Communication Middleware for Car-2-Cloud Applications. S. Herrnleben; (2019, April).
  • Chameleon: A Hybrid, Proa...
    Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field. A. Bauer; N. Herbst; S. Spinner; A. Ali-Eldin; S. Kounev; in IEEE Transactions on Parallel and Distributed Systems (2019). 30(4) 800–813.
  • How is Performance Addres...
    How is Performance Addressed in DevOps?. C.-P. Bezemer; S. Eismann; V. Ferme; J. Grohmann; R. Heinrich; P. Jamshidi; W. Shang; A. van Hoorn; M. Villavicencio; J. Walter; F. Willnecker; in Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering (2019). 45–50.
  • Towards Adaptive Car-to-C...
    Towards Adaptive Car-to-Cloud Communication. S. Herrnleben; M. Pfannemüller; C. Krupitzer; S. Kounev; M. Segata; F. Fastnacht; M. Nigmann; in Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (2019).
  • Automation in Software Performance Engineering Based on a Declarative Specification of Concerns. J. C. Walter; Thesis; Universität Würzburg. (2019).
  • Performance Influence of ...
    Performance Influence of Security Function Chain Ordering. L. Iffländer; N. Fella; in Companion of the 2019 ACM/SPEC International Conference on Performance Engineering (2019). 45–46.
  • Measuring the Energy Effi...
    Measuring the Energy Efficiency of Transactional Loads on GPGPU. J. von Kistowski; J. Pais; T. Wahl; K.-D. Lange; H. Block; J. Beckett; S. Kounev; in Proceedings of the 19th ACM/SPEC International Conference on Performance Engineering (2019).
    Best Industry Paper Award
  • Measuring and Rating the Energy-Efficiency of Servers. J. von Kistowski; K.-D. Lange; J. A. Arnold; J. Beckett; H. Block; M. Tricker; S. Sharma; J. Pais; S. Kounev; in Future Generation Computer Systems (2019). 100 579–589.
  • Online model learning for...
    Online model learning for self-aware computing infrastructures. S. Spinner; J. Grohmann; S. Eismann; S. Kounev; in Journal of Systems and Software (2019). 147 1–16.
  • Monitorless: Predicting P...
    Monitorless: Predicting Performance Degradation in Cloud Applications with Machine Learning. J. Grohmann; P. K. Nicholson; J. O. Iglesias; S. Kounev; D. Lugones; in Proceedings of the 20th International Middleware Conference (2019). 149–162.
  • Modeling of Aggregated Io...
    Modeling of Aggregated IoT Traffic and Its Application to an IoT Cloud. F. Metzger; T. Hoßfeld; A. Bauer; S. Kounev; P. E. Heegaard; in Proceedings of the IEEE (2019). 107(4) 679–694.
  • Predicting Server Power C...
    Predicting Server Power Consumption from Standard Rating Results. J. von Kistowski; J. Grohmann; N. Schmitt; S. Kounev; in Proceedings of the 19th ACM/SPEC International Conference on Performance Engineering (2019). 301–312.
    Full Paper Acceptance Rate: 18.6% (13/70)
  • Hands Off my Database: Ransomware Detection in Databases through Dynamic Analysis of Query Sequences. L. Iffländer; A. Dmitrienko; C. Hagen; M. Jobst; S. Kounev; in ArXiv | arXiv:1907.06775v1 (2019).
  • WheelShare: Crowd-sensed ...
    WheelShare: Crowd-sensed Surface Classification for Accessible Routing. J. Edinger; V. Raychoudhury; A. Hofmann; A. Wachner; C. Becker; C. Krupitzer; in Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (2019).
  • Performance Oriented Dyna...
    Performance Oriented Dynamic Bypassing for Intrusion Detection Systems. L. Iffländer; J. Stoll; N. Rawtani; V. Lesch; K.-D. Lange; S. Kounev; in Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering (2019). 159–166.
  • Performance-feedback auto...
    Performance-feedback autoscaling with budget constraints for cloud-based workloads of workflows. A. Ilyushkin; A. Bauer; A. V. Papadopoulos; E. Deelman; A. Iosup; in arXiv preprint arXiv:1905.10270 (2019).
  • Towards a QoS-aware Cyber...
    Towards a QoS-aware Cyber Physical Networking Middleware Architecture. M. Brinkschulte; C. Becker; C. Krupitzer; in 1st International Workshop on Middleware for Lightweight, Spontaneous Environments (MISE) @ ACM/IFIP/USENIX International Middleware Conference (2019).
  • The Organic Computing Doctoral Dissertation Colloquium: Status and Overview in 2019. C. Krupitzer; S. Tomforde; in Proceedings of the INFORMATIK 2019 (Workshop-Beitr{ä}ge) (2019).
  • Challenges and Approaches...
    Challenges and Approaches: Forecasting for Autonomic Computing. A. Bauer; in Organic Computing: Doctoral Dissertation Colloquium 2018, S. Tomforde, B. Sick (eds.) (2019).
  • Improving the Energy Effi...
    Improving the Energy Efficiency of IoT-Systems and its Software. N. Schmitt; in Organic Computing: Doctoral Dissertation Colloquium 2018, S. Tomforde, B. Sick (eds.) (2019).
  • On Learning in Collective...
    On Learning in Collective Self-Adaptive Systems: State of Practice and a 3D Framework. M. D’Angelo; S. Gerasimou; S. Ghahremani; J. Grohmann; I. Nunes; E. Pournaras; S. Tomforde; in Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (2019). 13–24.
  • A Modular Simulation Fram...
    A Modular Simulation Framework for Analyzing Platooning Coordination. C. Krupitzer; V. Lesch; M. Pfannemüller; C. Becker; M. Segata; in Proceedings of the 1st ACM Workshop on Technologies, mOdels, and Protocols for Cooperative Connected Cars (TOP-Cars), Colocated with ACM MobiHoc 2019 (2019).
  • DR.SGX: Automated and Adjustable Side-Channel Protection for SGX using Data Location Randomization. F. Brasser; S. Capkun; A. Dmitrienko; T. Frassetto; K. Kostiainen; A.-R. Sadeghi; in Annual Computer Security Applications Conference (ACSAC) (2019).
  • Exploring the Limitations of Statistical Response Time Models in Architectural Performance Models. S. Trapp; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2019, December).
  • Kaa: Evaluating Elasticit...
    Kaa: Evaluating Elasticity of Cloud-hosted DBMS. D. Seybold; S. Volpert; S. Wesner; A. Bauer; N. Herbst; J. Domaschka; in Proceedings of the 11th IEEE International Conference on Cloud Computing (CloudCom) (2019).
  • DR.SGX: Automated and Adjustable Side-Channel Protection for SGX using Data Location Randomization F. Brasser; S. Capkun; A. Dmitrienko; T. Frassetto; K. Kostiainen; A.-R. Sadeghi; (2019, December).
  • Towards Testing the Softw...
    Towards Testing the Software Aging Behavior of Hypervisor Hypercall Interfaces. L. Beierlieb; L. Iffländer; A. Milenkoski; C. F. Goncalves; N. Antunes; S. Kounev; in 2019 IEEE International Symposium on Software Reliability Engineering Workshops ({ISSREW}) (2019).
  • Artificial Intelligence in Medicine - From Data Collection to Prediction. M. Züfle; R. Leppich; (2019, November).
  • Multi-objective Optimisat...
    Multi-objective Optimisation in Hybrid Collaborating Adaptive Systems. V. Lesch; C. Krupitzer; S. Tomforde; in Proceedings of the 7th edition in the Series on Autonomously Learning and Optimising Systems (SAOS), co-located with 32nd GI/ITG ARCS 2019 (2019).
  • The SPEC-RG Reference Arc...
    The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms. E. van Eyk; J. Grohmann; S. Eismann; A. Bauer; L. Versluis; L. Toader; N. Schmitt; N. Herbst; C. L. Abad; A. Iosup; in IEEE Internet Computing (2019). 23(6) 7–18.
  • On Learning Parametric De...
    On Learning Parametric Dependencies from Monitoring Data. J. Grohmann; S. Eismann; S. Kounev; in Proceedings of the 10th Symposium on Software Performance 2019 (SSP’19) (2019).
  • Detecting Parametric Depe...
    Detecting Parametric Dependencies for Performance Models Using Feature Selection Techniques. J. Grohmann; S. Eismann; S. Elflein; M. Mazkatli; J. von Kistowski; S. Kounev; in 2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) (2019). 309–322.
    Acceptance Rate: 23.8% (29/122)
  • Discrete-Time Analysis of the Blockchain Distributed Ledger Technology. S. Geissler; T. Prantl; S. Lange; F. Wamser; T. Hossfeld; in Proceedings of the 31st International Teletraffic Congress (ITC) (2019).
  • From the Internet-of-Things to the Internet-of-Thinking-Things. S. Kounev; (2019, July).
  • Methodological Principles...
    Methodological Principles for Reproducible Performance Evaluation in Cloud Computing. A. V. Papadopoulos; L. Versluis; A. Bauer; N. Herbst; J. von Kistowski; A. Ali-Eldin; C. Abad; J. N. Amaral; P. Tuma; A. Iosup; in IEEE Transactions on Software Engineering (2019). 47(8) 1528–1543.
  • Towards Testing the Perfo...
    Towards Testing the Performance Influence of Hypervisor Hypercall Interface Behavior. L. Beierlieb; L. Iffländer; S. Kounev; A. Milenkoski; in Proceedings of the 10th Symposium on Software Performance 2019 (SSP’19) (2019).
  • Hands Off my Database: Ra...
    Hands Off my Database: Ransomware Detection in Databases through Dynamic Analysis of Query Sequences L. Iffländer; A. Dmitrienko; C. Hagen; M. Jobst; S. Kounev; (2019).
  • Der Weg vom Internet-der-Dinge zum Internet-der-denkenden-Dinge. S. Kounev; (2019, June).
  • Chamulteon: Coordinated A...
    Chamulteon: Coordinated Auto-Scaling of Micro-Services. A. Bauer; V. Lesch; L. Versluis; A. Ilyushkin; N. Herbst; S. Kounev; in Proceedings of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS) (2019).
  • Agile Scalability Engineering: The ScrumScale Method. G. Brataas; G. Hanssen; N. Herbst; A. van Hoorn; in IEEE Software (2019). 37(5) 77–85.
    to appear
  • Towards Edge Benchmarking: A Methodology for Characterizing Edge Workloads. K. Tocze; N. Schmitt; I. Brandic; A. Aral; S. Nadjm-Tehrani; in Proceedings of Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf) as part of FAS*(IEEE ICAC/SASO) conferences companion (2019).
  • Autonomic Forecasting Met...
    Autonomic Forecasting Method Selection: Examination and Ways Ahead. M. Züfle; A. Bauer; V. Lesch; C. Krupitzer; N. Herbst; S. Kounev; V. Curtef; in Proceedings of the 16th IEEE International Conference on Autonomic Computing (ICAC) (2019).
  • Chameleon: A Hybrid, Proa...
    Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field. A. Bauer; (2019, June).
  • Systematic Search for Opt...
    Systematic Search for Optimal Resource Configurations of Distributed Applications. A. Bauer; S. Eismann; J. Grohmann; N. Herbst; S. Kounev; in 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W) (2019). 120–125.
  • Methoden und Messverfahre...
    Methoden und Messverfahren für Automatisches Skalieren in Elastischen Cloud Umgebungen. N. Herbst; (2019, June).
  • Emerging Self-Integration...
    Emerging Self-Integration through Coordination of Autonomous Adaptive Systems. V. Lesch; C. Krupitzer; S. Tomforde; in Proceedings of the 4th IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W@ICAC/SASO 2019 (2019).
  • Utilizing Clustering to O...
    Utilizing Clustering to Optimize Resource Demand Estimation Approaches. J. Grohmann; S. Eismann; A. Bauer; M. Zuefle; N. Herbst; S. Kounev; in 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W) (2019). 134–139.
  • Online Power Consumption ...
    Online Power Consumption Estimation for Functions in Cloud Applications. N. Schmitt; L. Iffländer; A. Bauer; S. Kounev; in Proceedings of the 16th IEEE International Conference on Autonomic Computing (ICAC) (2019).
  • Best Practices for Time S...
    Best Practices for Time Series Forecasting. A. Bauer; M. Züfle; N. Herbst; S. Kounev; in 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W) (2019).
  • Planning as Optimization:...
    Planning as Optimization: Dynamically Discovering Optimal Configurations for Runtime Situations. E. M. Fredericks; I. Gerostathopoulos; C. Krupitzer; T. Vogel; in Proceedings of the 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2019 (2019).
2018[ to top ]
  • Towards Self-Aware DEVOPS: From Theory to Practice. S. Kounev; (2018, March).
  • Extending BUNGEE Elastici...
    Extending BUNGEE Elasticity Benchmark for Multi-Tier Cloud Applications. A. Bauer; (2018, April).
  • An Experimental Performan...
    An Experimental Performance Evaluation of Autoscalers for Complex Workflows. A. Ilyushkin; A. Ali-Eldin; N. Herbst; A. Bauer; A. V. Papadopoulos; D. Epema; A. Iosup; in ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS) (2018). 3(2) 8:1–8:32.
  • The Vision of Self-aware ...
    The Vision of Self-aware Reordering of Security Network Function Chains. L. Iffländer; J. Walter; S. Eismann; S. Kounev; in Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering (2018). 1–4.
  • Modeling of Parametric De...
    Modeling of Parametric Dependencies for Performance Prediction of Component-based Software Systems at Run-time. S. Eismann; J. Walter; J. von Kistowski; S. Kounev; in 2018 IEEE International Conference on Software Architecture (ICSA) (2018). 135–144.
    Acceptance Rate: 25,6% (22/86)
  • FOX: Cost-Awareness for A...
    FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds. V. Lesch; A. Bauer; N. Herbst; S. Kounev; in Proceedings of the 9th ACM/SPEC International Conference on Performance Engineering (ICPE 2018) (2018).
    Full Paper Acceptance Ratio: 23,7%
  • TeaStore - A Micro-Servic...
    TeaStore - A Micro-Service Application for Benchmarking, Modeling and Resource Management Research. J. von Kistowski; (2018, April).
  • Flexible Performance Pred...
    Flexible Performance Predictions at Run-time. S. Eismann; (2018, April).
  • A SPEC RG Cloud Group's V...
    A SPEC RG Cloud Group’s Vision on the Performance Challenges of FaaS Cloud Architectures. E. van Eyk; A. Iosup; C. L. Abad; J. Grohmann; S. Eismann; in Companion of the 2018 ACM/SPEC International Conference on Performance Engineering (2018). 21–24.
  • Using Machine Learning fo...
    Using Machine Learning for Recommending Service Demand Estimation Approaches. J. Grohmann; N. Herbst; S. Spinner; S. Kounev; in Proceedings of the 8th International Conference on Cloud Computing and Services Science (CLOSER 2018) (2018). 473–480.
  • Model-Based Network Analy...
    Model-Based Network Analysis and Optimization. S. Herrnleben; (2018, February).
    Invited Talk for Best Master Thesis Award 2018 of GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (MMB).
  • On the Value of Service D...
    On the Value of Service Demand Estimation for Auto-Scaling. A. Bauer; J. Grohmann; N. Herbst; S. Kounev; in Proceedings of 19th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (MMB 2018) (2018). (Vol. 10740) 142–156.
  • SPEC CPU2017: Next-Generation Compute Benchmark. J. Bucek; K.-D. Lange; J. von Kistowski; in Companion of the 2018 ACM/SPEC International Conference on Performance Engineering (2018). 41–42.
  • Tools for Declarative Per...
    Tools for Declarative Performance Engineering. J. Walter; S. Eismann; J. Grohmann; D. Okanovic; S. Kounev; in Companion of the 2018 ACM/SPEC International Conference on Performance Engineering (2018). 53–56.
  • Measuring and Benchmarkin...
    Measuring and Benchmarking Power Consumption and Energy Efficiency. J. von Kistowski; K.-D. Lange; J. A. Arnold; S. Sharma; J. Pais; H. Block; in Companion of the 2018 ACM/SPEC International Conference on Performance Engineering (2018). 57–65.
  • Energy Benchmarking. K.-D. Lange; J. von Kistowski; in Encyclopedia of Big Data Technologies, S. Sakr, A. Zomaya (eds.) (2018). 1–6.
  • The Vision of Self-Aware ...
    The Vision of Self-Aware Performance Models. J. Grohmann; S. Eismann; S. Kounev; in 2018 IEEE International Conference on Software Architecture Companion (ICSA-C) (2018). 60–63.
  • SPEC Research Group Newsl...
    SPEC Research Group Newsletter, vol. 2 no. 3. S. Kounev; A. van Hoorn; N. Herbst; A. Bauer; (2018, April).
    Published by Standard Performance Evaluation Corporation (SPEC)
  • CUP: A Formalism for Expressing Cloud Usage Patterns for Experts and Non-Experts. A. Milenkoski; A. Iosup; S. Kounev; K. Sachs; D. E. Mularz; J. A. Curtiss; J. J. Ding; F. Rosenberg; P. Rygielski; in IEEE Cloud Computing (2018). 5(3) 65–76.
  • Towards Self-Aware Indust...
    Towards Self-Aware Industry 4.0 using a Layered Meta-Model. V. Lesch; (2018, April).
  • Black-box Learning of Par...
    Black-box Learning of Parametric Dependencies for Performance Models. V. Ackermann; J. Grohmann; S. Eismann; S. Kounev; in Proceedings of 13th International Workshop on Models@run.time (MRT), co-located with ACM/IEEE 21st International Conference on Model Driven Engineering Languages and Systems (MODELS 2018) (2018).
  • Predictive Maintenance fo...
    Predictive Maintenance for Industry 4.0. M. Züfle; (2018, April).
  • SmarTor: Smarter Tor with...
    SmarTor: Smarter Tor with Smart Contracts: Improving resilience of topology distribution in the Tor network. A. Greubel; A. Dmitrienko; S. Kounev; in Proceedings of the 34th Annual Computer Security Applications Conference (2018).
  • Efficient and Effective R...
    Efficient and Effective Ransomware Detection in Databases. C. Hagen; A. Dmitrienko; L. Iffländer; M. Jobst; S. Kounev; in 34th Annual Computer Security Applications Conference (ACSAC) (2018).
  • TeaStore: A Micro-Service...
    TeaStore: A Micro-Service Reference Application for Cloud Researchers. S. Eismann; J. v. Kistowski; J. Grohmann; A. Bauer; N. Schmitt; N. Herbst; S. Kounev; in Proceedings of 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion) (2018). 11–12.
  • Towards Infrastructure-Ai...
    Towards Infrastructure-Aided Self-Organized Hybrid Platooning. C. Krupitzer; M. Segata; M. Breitbach; S. S. El-Tawab; S. Tomforde; C. Becker; in Proceedings of the IEEE Global Conference on Internet of Things (GCIoT 2018) (2018).
  • TeaStore - A Micro-Servic...
    TeaStore - A Micro-Service Application for Benchmarking, Modeling and Resource Management Research. S. Eismann; (2018, November).
  • Addressing Shortcomings o...
    Addressing Shortcomings of Existing DDoS Protection Software Using Software-Defined Networking. L. Iffländer; S. Geißler; J. Walter; L. Beierlieb; S. Kounev; in Proceedings of the 9th Symposium on Software Performance 2018 (SSP’18) (2018).
  • Run-time Prediction of Po...
    Run-time Prediction of Power Consumption for Component Deployments. J. von Kistowski; M. Deffner; S. Kounev; in Proceedings of the 15th IEEE International Conference on Autonomic Computing (ICAC 2018) (2018).
  • TeaStore: A Micro-Service...
    TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research. J. von Kistowski; S. Eismann; N. Schmitt; A. Bauer; J. Grohmann; S. Kounev; in Proceedings of the 26th IEEE International Symposium on the Modelling, Analysis, and Simulation of Computer and Telecommunication Systems (2018). 223–236.
    Acceptance Rate: 29.5% (23/78)
  • Elasticity Measurement in CaaS Environments - Extending the Existing BUNGEE Elasticity Benchmark to AWS’s Elastic Container Service. N. Limbourg; Thesis; Dublin Institute of Technology; Kevin Street, Dublin 2, D08 X622, Ireland. (2018, June).
  • Design of a Shared Parking System with Special Attention to Security Aspects. S. Englert; Thesis; University of Würzburg. (2018, August).
  • Modern time-series forecasting as enabler of proactive systems management. S. Kounev; (2018, June).
  • Self-Aware Computing: From Vision to Reality. S. Kounev; (2018, May).
  • How we built a scalable m...
    How we built a scalable micro-service application - The Tea Store. N. Herbst; (2018, July).
  • Methods and Benchmarks for Auto-Scaling Mechanisms in Elastic Cloud Environments. N. Herbst; Thesis; University of Würzburg, Germany. (2018, July).
    Distinction, SPEC Kaivalya Dixit Distinguished Dissertation Award 2018
  • Quantifying Cloud Perform...
    Quantifying Cloud Performance and Dependability: Taxonomy, Metric Design, and Emerging Challenges. N. Herbst; A. Bauer; S. Kounev; G. Oikonomou; E. van Eyk; G. Kousiouris; A. Evangelinou; R. Krebs; T. Brecht; C. L. Abad; A. Iosup; in ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS) (2018). 3(4) 19:1–19:36.
2017[ to top ]
  • TableVisor 2.0: Towards F...
    TableVisor 2.0: Towards Full-Featured, Scalable and Hardware-Independent Multi Table Processing. S. Geissler; S. Gebert; S. Herrnleben; T. Zinner; R. Bauer; M. Jarschel; in NetSoft 2017 (2017).
    Best Student Paper Award
  • Model-Based Self-Aware Pe...
    Model-Based Self-Aware Performance and Resource Management Using the Descartes Modeling Language. S. Kounev; N. Huber; F. Brosig; S. Spinner; M. Baehr; in Jan Jürjens, Kurt Schneider (Hrsg.): Software Engineering 2017 (SE 2017), Fachtagung des GI-Fachbereichs Softwaretechnik, 21.-24. Februar 2017, Hannover, Germany (2017).
  • Modeling and Extracting L...
    Modeling and Extracting Load Intensity Profiles. J. von Kistowski; N. Herbst; S. Kounev; H. Groenda; C. Stier; S. Lehrig; in ACM Transactions on Autonomous and Adaptive Systems (TAAS) (2017). 11(4) 23:1–23:28.
  • Self-Aware Performance an...
    Self-Aware Performance and Resource Management in Shared IT Infrastructures. S. Kounev; (2017, January).
  • Benchmarking Intrusion De...
    Benchmarking Intrusion Detection Systems with Adaptive Provisioning of Virtualized Resources. A. Milenkoski; K. R. Jayaram; S. Kounev; in Self-Aware Computing Systems, S. Kounev, J. O. Kephart, A. Milenkoski, X. Zhu (eds.) (2017).
  • State of the Art in Archi...
    State of the Art in Architectures for Self-Aware Computing Systems. H. Giese; T. Vogel; A. Diaconescu; S. Götz; N. Bencomo; K. Geihs; S. Kounev; K. Bellman; in Self-Aware Computing Systems, S. Kounev, J. O. Kephart, A. Milenkoski, X. Zhu (eds.) (2017).
  • Reference Scenarios for S...
    Reference Scenarios for Self-Aware Computing. J. O. Kephart; M. Maggio; A. Diaconescu; H. Giese; H. Hoffmann; S. Kounev; A. Koziolek; P. Lewis; A. Robertsson; S. Spinner; in Self-Aware Computing Systems, S. Kounev, J. O. Kephart, A. Milenkoski, X. Zhu (eds.) (2017).
  • Run-time Models for Onlin...
    Run-time Models for Online Performance and Resource Management in Data Centers. S. Spinner; A. Filieri; S. Kounev; M. Maggio; A. Robertsson; in Self-Aware Computing Systems, S. Kounev, J. O. Kephart, A. Milenkoski, X. Zhu (eds.) (2017).
  • Predicting Power Consumpt...
    Predicting Power Consumption of High-Memory-Bandwidth Workloads. N. Schmitt; J. von Kistowski; S. Kounev; in Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering (2017). 353–356.
  • Software Architectures fo...
    Software Architectures for Self-Protection in IaaS Clouds. K. R. Jayaram; A. Milenkoski; S. Kounev; in Self-Aware Computing Systems, S. Kounev, J. O. Kephart, A. Milenkoski, X. Zhu (eds.) (2017).
  • Model-Based Self-Aware Pe...
    Model-Based Self-Aware Performance and Resource Management Using the Descartes Modeling Language. N. Huber; F. Brosig; S. Spinner; S. Kounev; M. Bähr; in IEEE Transactions on Software Engineering (TSE) (2017). 43(5) 432–452.
  • Self-Awareness of Cloud A...
    Self-Awareness of Cloud Applications. A. Iosup; X. Zhu; A. Merchant; E. Kalyvianaki; M. Maggio; S. Spinner; T. Abdelzaher; O. Mengshoel; S. Bouchenak; in Self-Aware Computing Systems, S. Kounev, J. O. Kephart, A. Milenkoski, X. Zhu (eds.) (2017).
  • The Notion of Self-Aware ...
    The Notion of Self-Aware Computing. S. Kounev; P. Lewis; K. Bellman; N. Bencomo; J. Camara; A. Diaconescu; L. Esterle; K. Geihs; H. Giese; S. Götz; P. Inverardi; J. Kephart; A. Zisman; in Self-Aware Computing Systems, S. Kounev, J. O. Kephart, A. Milenkoski, X. Zhu (eds.) (2017).
  • Flexible Modeling of Data...
    Flexible Modeling of Data Center Networks for Capacity Management. P. Rygielski; Thesis; University of Würzburg, Germany. (2017, March).
  • Online Learning of Run-ti...
    Online Learning of Run-time Models for Performance and Resource Management in Data Centers. J. Walter; A. D. Marco; S. Spinner; P. Inverardi; S. Kounev; in Self-Aware Computing Systems, S. Kounev, J. O. Kephart, A. Milenkoski, X. Zhu (eds.) (2017).
  • Metrics and Benchmarks fo...
    Metrics and Benchmarks for Self-Aware Computing Systems. N. Herbst; S. Becker; S. Kounev; H. Koziolek; M. Maggio; A. Milenkoski; E. Smirni; in Self-Aware Computing Systems, S. Kounev, J. O. Kephart, A. Milenkoski, X. Zhu (eds.) (2017).
  • Der Grader PABS. L. Iffländer; A. Dallmann; in Automatische Bewertung in der Programmierausbildung, O. J. Bott, P. Fricke, U. Priss, M. Striewe (eds.) (2017). (Vol. 6) 241–254.
  • CASPA: A Platform for Com...
    CASPA: A Platform for Comparability of Architecture-based Software Performance Engineering Approaches. T. F. Düllmann; R. Heinrich; A. van Hoorn; T. Pitakrat; J. Walter; F. Willnecker; in Proceedings of the 2017 IEEE International Conference on Software Architecture (ICSA 2017) (2017).
  • Spacecraft Autonomous Rea...
    Spacecraft Autonomous Reaction Capabilities, Control Approaches and Self-Aware Computing. K. Schilling; J. Walter; S. Kounev; in Self-Aware Computing Systems, S. Kounev, J. O. Kephart, A. Milenkoski, X. Zhu (eds.) (2017).
  • Architectural Concepts fo...
    Architectural Concepts for Self-Aware Computing Systems. H. Giese; T. Vogel; A. Diaconescu; S. Götz; S. Kounev; in Self-Aware Computing Systems, S. Kounev, J. O. Kephart, A. Milenkoski, X. Zhu (eds.) (2017).
  • Self-Aware Computing Syst...
    Self-Aware Computing Systems: Related Concepts and Research Areas. J. Cámara; K. Bellman; J. Kephart; M. Autili; N. Bencomo; A. Diaconescu; H. Giese; S. Götz; P. Inverardi; S. Kounev; M. Tivoli; in Self-Aware Computing Systems, S. Kounev, J. O. Kephart, A. Milenkoski, X. Zhu (eds.) (2017).
  • Online Workload Forecasti...
    Online Workload Forecasting. N. Herbst; A. Amin; A. Andrzejak; L. Grunske; S. Kounev; O. J. Mengshoel; P. Sundararajan; in Self-Aware Computing Systems, S. Kounev, J. O. Kephart, X. Zhu, A. Milenkoski (eds.) (2017).
  • Self-Aware Computing Systems S. Kounev; J. O. Kephart; A. Milenkoski; X. Zhu; (2017). Springer Verlag, Berlin Heidelberg, Germany.
  • Model-Based Self-Aware Pe...
    Model-Based Self-Aware Performance and Resource Management Using the Descartes Modeling Language. S. Kounev; (2017, February).
  • The SERT Metric and the Impact of Server Configuration J. von Kistowski; K.-D. Lange; J. A. Arnold; H. Block; G. Darnell; J. Beckett; M. Tricker; (2017).
  • Stochastic Models for Sel...
    Stochastic Models for Self-Aware Computing in Data Centers. S. Kounev; (2017, July).
  • Automated and Adaptable D...
    Automated and Adaptable Decision Support for Software Performance Engineering. J. Walter; A. van Hoorn; S. Kounev; in Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and Tools (2017).
  • Performance Assessment of...
    Performance Assessment of Cloud Migrations from Network and Application Point of View. L. Iffländer; F. Wamser; C. Metter; P. Tran-Gia; S. Kounev; in Proceedings of 9th EAI International Conference on Mobile Networks and Management (MONAMI 2018) (2017).
  • Automating the Build Pipe...
    Automating the Build Pipeline for Docker Container. N. Reed; J. Walter; S. Kounev; (2017, November).
  • Autopilot: Enabling easy ...
    Autopilot: Enabling easy Benchmarking of Workload Energy Efficiency. J. von Kistowski; M. Deffner; J. A. Arnold; K.-D. Lange; J. Beckett; S. Kounev; in Proceedings of the 8th ACM/SPEC International Conference on Performance Engineering (ICPE 2017) (2017).
    Best Demo Award
  • Providing Model-Extractio...
    Providing Model-Extraction-as-a-Service for Architectural Performance Models. J. Walter; S. Eismann; N. Reed; S. Kounev; in Proceedings of the 2017 Symposium on Software Performance (SSP) (2017).
  • Telescope: A Hybrid Forec...
    Telescope: A Hybrid Forecast Method for Univariate Time Series. M. Züfle; A. Bauer; N. Herbst; V. Curtef; S. Kounev; in Proceedings of the International work-conference on Time Series (ITISE 2017) (2017).
  • Emulating the Power Consu...
    Emulating the Power Consumption Behavior of Server Workloads using CPU Performance Counters. N. Schmitt; J. von Kistowski; S. Kounev; in Proceedings of the 25th IEEE International Symposium on the Modelling, Analysis, and Simulation of Computer and Telecommunication Systems (2017).
    (Short Paper) Acceptance Rate: 26/84 = 31%
  • Energy Efficiency Benchmarking Framework for GPGPU. T. Wahl; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2017, August).
  • Towards a Scalability and...
    Towards a Scalability and Energy Efficiency Benchmark for VNF. N. Schmitt; J. von Kistowski; S. Kounev; in Proceedings of the 9th TPC Technology Conference on Performance Engineering and Benchmarking (2017).
  • Performance and Security ...
    Performance and Security Influence of Augmenting IDS using SDN and NFV. L. Iffländer; J. Stoll; (2017, November).
  • Self-Tuning Resource Dema...
    Self-Tuning Resource Demand Estimation. J. Grohmann; N. Herbst; S. Spinner; S. Kounev; in Proceedings of the 14th IEEE International Conference on Autonomic Computing (ICAC 2017) (2017). 21–26.
  • Mapping of Service Level ...
    Mapping of Service Level Objectives to Performance Queries. J. Walter; D. Okanovic; S. Kounev; in Proceedings of the 2017 Workshop on Challenges in Performance Methods for Software Development (WOSP-C’17) co-located with 8th ACM/SPEC International Conference on Performance Engineering (ICPE 2017) (2017).
  • Self-Aware Resource Management in Virtualized Data Centers. S. Spinner; Thesis; University of Würzburg, Germany. (2017, July).
  • Design and Evaluation of ...
    Design and Evaluation of a Proactive, Application-Aware Auto-Scaler. A. Bauer; N. Herbst; S. Kounev; in Proceedings of the 8th ACM/SPEC International Conference on Performance Engineering (ICPE 2017) (2017).
  • SPEC Research Group Newsl...
    SPEC Research Group Newsletter, vol. 2 no. 2. S. Kounev; A. van Hoorn; P. Rygielski; N. Herbst; A. Bauer; (2017, April).
    Published by Standard Performance Evaluation Corporation (SPEC)
  • An Expandable Extraction ...
    An Expandable Extraction Framework for Architectural Performance Models. J. Walter; C. Stier; H. Koziolek; S. Kounev; in Proceedings of the 3rd International Workshop on Quality-Aware DevOps (QUDOS’17) (2017).
  • An Experimental Performan...
    An Experimental Performance Evaluation of Autoscaling Policies for Complex Workflows. A. Ilyushkin; A. Ali-Eldin; N. Herbst; A. V. Papadopoulos; B. Ghit; D. Epema; A. Iosup; in Proceedings of the 8th ACM/SPEC International Conference on Performance Engineering (ICPE 2017) (2017).
    Best Paper Candidate (1/4)
  • SPECpower Research Working Group. J. von Kistowski; (2017, April).
  • Software Architectures fo...
    Software Architectures for Self-Aware Computing Systems. S. Kounev; (2017, June).
  • The Self-Aware Data Cente...
    The Self-Aware Data Center: From Vision to Reality. S. Kounev; (2017, July).
  • Scalability Analysis of C...
    Scalability Analysis of Cloud Software Services. G. Brataas; N. Herbst; S. Ivansek; J. Polutnik; in Companion Proceedings of the 14th IEEE International Conference on Autonomic Computing (ICAC 2017), Self Organizing Self Managing Clouds Workshop (SOSeMC 2017) (2017).
  • Local Approximation of Server Workloads. N. Schmitt; (2017, April).
2016[ to top ]
  • Automated Workload Characterization for I/O Performance Analysis in Virtualized Environments. A. Busch; Q. Noorshams; S. Kounev; A. Koziolek; R. Reussner; E. Amrehn; in Software Engineering 2016 (SE 2016), Fachtagung des GI-Fachbereichs Softwaretechnik, 23.-26. März 2016, Vienna, Austria (2016). 27–28.
  • Automated Extraction of N...
    Automated Extraction of Network Traffic Models Suitable for Performance Simulation. P. Rygielski; V. Simko; F. Sittner; D. Aschenbrenner; S. Kounev; K. Schilling; in Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering (ICPE 2016) (2016). 27–35.
    Acceptance rate (Full Paper): 19/57 = 33%
  • Variations in CPU Power C...
    Variations in CPU Power Consumption. J. von Kistowski; H. Block; J. Beckett; C. Spradling; K.-D. Lange; S. Kounev; in Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering (ICPE 2016) (2016).
  • A Reference Architecture ...
    A Reference Architecture for Online Performance Model Extraction in Virtualized Environments. S. Spinner; J. Walter; S. Kounev; in Proceedings of the 2016 Workshop on Challenges in Performance Methods for Software Development (WOSP-C’16) co-located with 7th ACM/SPEC International Conference on Performance Engineering (ICPE 2016) (2016).
  • SPEC Research Group Newsl...
    SPEC Research Group Newsletter, vol. 2 no. 1. S. Kounev; A. van Hoorn; P. Rygielski; (2016, March).
    Published by Standard Performance Evaluation Corporation (SPEC)
  • Analysis of the Trade-off...
    Analysis of the Trade-offs in Different Modeling Approaches for Performance Prediction of Software Systems. S. Kounev; (2016, February).
  • Performance Assessment of...
    Performance Assessment of Service Migration Strategies. L. Iffländer; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2016, January).
  • Analysis of the Trade-off...
    Analysis of the Trade-offs in Different Modeling Approaches for Performance Prediction of Software Systems. S. Kounev; F. Brosig; P. Meier; S. Becker; A. Koziolek; H. Koziolek; P. Rygielski; in Software Engineering 2016 (SE 2016), Fachtagung des GI-Fachbereichs Softwaretechnik, 23.-26. Feb 2016, Vienna, Austria (2016). 47–48.
  • Model-Based Approach to D...
    Model-Based Approach to Designing Self-Aware IT Systems and Infrastructures. S. Kounev; (2016, January).
  • DECLARE: Declarative Perf...
    DECLARE: Declarative Performance Engineering. A. van Hoorn; S. Kounev; D. Okanovi’c}}; J. Walter; (2016, January).
  • Use Cases for Chauffeur. J. von Kistowski; (2016, January).
  • Enabling Fluid Analysis f...
    Enabling Fluid Analysis for Queueing Petri Nets via Model Transformation. C. Müller; P. Rygielski; S. Spinner; S. Kounev; in Electronic Notes in Theoretical Computer Science (2016). 327 71–91.
    The 8th International Workshop on Practical Application of Stochastic Modeling, PASM 2016
  • Getting the Data. J. Happe; B. Klatt; M. Küster; F. Brosig; A. Wert; S. Spinner; C. Stier; H. Koziolek; in Modeling and Simulating Software Architectures - The Palladio Approach, R. H. Reussner, S. Becker, J. Happe, R. Heinrich, A. Koziolek, H. Koziolek, M. Kramer, K. Krogmann (eds.) (2016).
    In Press
  • Automated Parameterizatio...
    Automated Parameterization of Performance Models from Measurements. G. Casale; S. Spinner; W. Wang; in Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering (ICPE 2016) (2016).
  • Ready for Rain? A View from SPEC Research on the Future of Cloud Metrics. (SPEC-RG-2016-01), N. Herbst; R. Krebs; G. Oikonomou; G. Kousiouris; A. Evangelinou; A. Iosup; S. Kounev; (2016).
  • Asking ``What?'', Automat...
    Asking ``What?’’, Automating the ``How?’’: The Vision of Declarative Performance Engineering. J. Walter; A. van Hoorn; H. Koziolek; D. Okanovic; S. Kounev; in Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering (ICPE 2016) (2016).
  • The Vision of Declarative Performance Engineering. J. Walter; A. van Hoorn; H. Koziolek; D. Okanovic; S. Kounev; in Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering (ICPE 2016) (2016).
  • Quantifying the Attack De...
    Quantifying the Attack Detection Accuracy of Intrusion Detection Systems in Virtualized Environments. A. Milenkoski; K. R. Jayaram; N. Antunes; M. Vieira; S. Kounev; in Proceedings of The 27th IEEE International Symposium on Software Reliability Engineering (ISSRE 2016) (2016).
    Acceptance rate (Full Paper): 45/130 = 34%
  • The Descartes Modeling Language for Self-Aware Performance and Resource Management. S. Kounev; (Z. M. (Jack) Jiang, ed.) (2016, April).
    IEEE Software Blog
  • Predicting Power Consumption in Virtualized Environments. J. von Kistowski; M. Schreck; S. Kounev; in Computer Performance Engineering: 13th European Workshop, EPEW 2016, Chios, Greece, October 5-7, 2016, Proceedings, D. Fiems, M. Paolieri, N. A. Platis (eds.) (2016). 79–93.
  •  Kieker4DQL: Declarative ...
    Kieker4DQL: Declarative Performance Measurement. M. Blohm; M. Pahlberg; S. Vogel; J. Walter; D. Okanovic; in Proceedings of the 2016 Symposium on Software Performance (SSP) (2016).
  • Evaluation of Intrusion D...
    Evaluation of Intrusion Detection Systems in Virtualized Environments. A. Milenkoski; Thesis; University of Würzburg, Germany. (2016, November).
    SPEC Kaivalya Dixit Distinguished Dissertation Award 2017
  • Design and Evaluation of ...
    Design and Evaluation of a Proactive, Application-Aware Elasticity Mechanism. A. Bauer; (2016, November).
  •  PAVO: A Framework for th...
    PAVO: A Framework for the Visualization of Performance Analyses Results. J. Walter; M. König; S. Eismann; S. Kounev; in Proceedings of the 2016 Symposium on Software Performance (SSP) (2016).
  • Triggering Performance Co...
    Triggering Performance Counters for Energy Efficiency Measurements. N. Schmitt; (2016, November).
  • Chameleon: Design and Evaluation of a Proactive, Application-Aware Elasticity Mechanism. A. Bauer; (2016, October).
  • Scientific Computing, Computer Arithmetic, and Validated Numerics: 16th International Symposium, SCAN 2014, Würzburg, Germany, September 21-26, 2014. Revised Selected Papers M. Nehmeier; J. W. von Gudenberg; W. Tucker; (2016). (Vol. 9553) Springer.
  • Modeling and Prediction o...
    Modeling and Prediction of Software-Defined Networks Performance using Queueing Petri Nets. P. Rygielski; M. Seliuchenko; S. Kounev; in Proceedings of the Ninth International Conference on Simulation Tools and Techniques (SIMUTools 2016) (2016). 66–75.
  • A Model-Based Approach to...
    A Model-Based Approach to Designing Self-Aware IT Systems and Infrastructures. S. Kounev; N. Huber; F. Brosig; X. Zhu; in IEEE Computer (2016). 49(7) 53–61.
  • Automation and Simplifica...
    Automation and Simplification Through Declarative Performance Engineering. J. Walter; (2016, June).
  • Benchmarking Dependabilit...
    Benchmarking Dependability of Virtual and Cloud Environments. S. Kounev; (2016, May).
  • Performance Analysis of S...
    Performance Analysis of SDN Switches with Hardware and Software Flow Tables. P. Rygielski; M. Seliuchenko; S. Kounev; M. Klymash; in Proceedings of the 10th EAI International Conference on Performance Evaluation Methodologies and Tools (ValueTools 2016) (2016).
2015[ to top ]
  • The Descartes Modeling La...
    The Descartes Modeling Language for Self-Aware Performance and Resource Management. S. Kounev; F. Brosig; N. Huber; in Software Engineering 2015, Fachtagung des GI-Fachbereichs Softwaretechnik, 17. - 20. März 2015, Dresden, Deutschland (2015).
  • Load Testing Elasticity and Performance Isolation in Shared Execution Environments. S. Kounev; (2015, February).
  • Load Testing Elasticity a...
    Load Testing Elasticity and Performance Isolation in Shared Execution Environments. S. Kounev; (2015, February).
  • The Descartes Modeling La...
    The Descartes Modeling Language for Self-Aware Performance and Resource Management. S. Kounev; (2015, March).
  • Self-Aware Performance and Resource Management in Shared IT Infrastructures. S. Kounev; (2015, May).
  • BUNGEE: An Elasticity Ben...
    BUNGEE: An Elasticity Benchmark for Self-Adaptive IaaS Cloud Environments. N. R. Herbst; S. Kounev; A. Weber; H. Groenda; in Proceedings of the 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2015) (2015).
    Acceptance rate: 29%
  • Modeling and Extracting L...
    Modeling and Extracting Load Intensity Profiles. J. von Kistowski; N. R. Herbst; D. Zoller; S. Kounev; A. Hotho; in Proceedings of the 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2015) (2015).
    Acceptance rate: 29%
  • How elastic is your cloud? From metrics to benchmarks. S. Kounev; (2015, May).
  • The SPEC Research Group -...
    The SPEC Research Group - Status Quo. S. Kounev; (2015, February).
  • Engineering & Provisionin...
    Engineering & Provisioning of Cloud Applications - Research and Entrepreneurship. S. Kounev; (2015, February).
  • Model-driven Algorithms and Architectures for Self-Aware Computing Systems S. Kounev; in Dagstuhl Reports, (S. Kounev; X. Zhu; J. O. Kephart; M. Kwiatkowska; A. M. [Assistant Editor], eds.) (2015). Dagstuhl, Germany.
  • Automated Workload Charac...
    Automated Workload Characterization for I/O Performance Analysis in Virtualized Environments. A. Busch; Q. Noorshams; S. Kounev; A. Koziolek; R. Reussner; E. Amrehn; in Proceedings of the ACM/SPEC International Conference on Performance Engineering (2015).
    Acceptance Rate (Full Paper): 15/56 = 27%.
  • The Storage Performance A...
    The Storage Performance Analyzer: Measuring, Monitoring, and Modeling of I/O Performance in Virtualized Environments. Q. Noorshams; A. Busch; S. Kounev; R. Reussner; in Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering (2015).
  • Load Testing Elasticity a...
    Load Testing Elasticity and Performance Isolation in Shared Execution Environments. S. Kounev; in Proceedings of the 4th International Workshop on Large-Scale Testing (LT 2015), co-located with the 6th ACM/SPEC International Conference on Performance Engineering (ICPE 2015) (2015).
  • How to Build a Benchmark
    How to Build a Benchmark. J. von Kistowski; J. A. Arnold; K. Huppler; K.-D. Lange; J. L. Henning; P. Cao; in Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering (ICPE 2015) (2015).
  • Analysis of the Influence...
    Analysis of the Influences on Server Power Consumption and Energy Efficiency for CPU-Intensive Workloads. J. von Kistowski; H. Block; J. Beckett; K.-D. Lange; J. A. Arnold; S. Kounev; in Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering (ICPE 2015) (2015).
    acceptance rate: 27%
  • Modeling and Prediction o...
    Modeling and Prediction of I/O Performance in Virtualized Environments. Q. Noorshams; Thesis; Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany. (2015, February).
  • Software Engineering for ...
    Software Engineering for Self-Aware Computing. S. Kounev; (2015, January).
  • The Descartes Modeling La...
    The Descartes Modeling Language and Tool Chain. S. Kounev; (2015, January).
  • Proactive Memory Scaling ...
    Proactive Memory Scaling of Virtualized Applications. S. Spinner; N. Herbst; S. Kounev; X. Zhu; L. Lu; M. Uysal; R. Griffith; in Proceedings of the 2015 IEEE 8th International Conference on Cloud Computing (IEEE CLOUD 2015) (2015). 277–284.
    Acceptance Rate: 15%
  • SPEC Research Group Newsl...
    SPEC Research Group Newsletter, vol. 1 no. 4. S. Kounev; K. Sachs; P. Rygielski; (2015, January).
    Published by Standard Performance Evaluation Corporation (SPEC)
  • PABS-a Programming Assign...
    PABS-a Programming Assignment Feedback System. L. Iffländer; A. Dallmann; P.-D. Beck; M. Ifland; in ABP (2015).
  • Challenges of Assessing t...
    Challenges of Assessing the Hypercall Interface Robustness. D. Carvalho; N. Antunes; M. Vieira; A. Milenkoski; S. Kounev; in The 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2015) (2015).
  • Software Engineering Research at the University of Würzburg. S. Kounev; (2015, June).
  • ITF1788: An Interval Testframework for IEEE 1788. (495), M. Kiesner; M. Nehmeier; J. Wolff von Gudenberg; (2015).
  • Evaluating Approaches to ...
    Evaluating Approaches to Resource Demand Estimation. S. Spinner; G. Casale; F. Brosig; S. Kounev; in Performance Evaluation (2015). 92 51–71.
  • Evaluating Computer Intru...
    Evaluating Computer Intrusion Detection Systems: A Survey of Common Practices. A. Milenkoski; M. Vieira; S. Kounev; A. Avritzer; B. D. Payne; in ACM Computing Surveys (2015). 48(1) 12:1–12:41.
    5-year Impact Factor (2014): 5.949
  • Evaluation of Intrusion D...
    Evaluation of Intrusion Detection Systems in Virtualized Environments Using Attack Injection. A. Milenkoski; B. D. Payne; N. Antunes; M. Vieira; S. Kounev; A. Avritzer; M. Luft; in The 18th International Symposium on Research in Attacks, Intrusions, and Defenses (RAID 2015) (2015).
    Acceptance Rate: 23%.
  • Ingenieurmässige Entwicklung verlässlicher und effizienter Software-Systeme. S. Kounev; (2015, July).
  • Comparing the Accuracy of...
    Comparing the Accuracy of Resource Demand Measurement and Estimation Techniques. F. Willnecker; M. Dlugi; A. Brunnert; S. Spinner; S. Kounev; H. Krcmar; in Computer Performance Engineering - Proceedings of the 12th European Workshop (EPEW 2015), M. Beltrán, W. Knottenbelt, J. Bradley (eds.) (2015). (Vol. 9272) 115–129.
  • Univariate Interpolation-...
    Univariate Interpolation-based Modeling of Power and Performance. J. von Kistowski; S. Kounev; in Proceedings of the 9th EAI International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS 2015) (2015).
  • Industrie 4.1: So wird die Produktion wirklich smart!. S. Kounev; (2015, November).
  • Automated Transformation ...
    Automated Transformation of Descartes Modeling Language to Palladio Component Model. J. Walter; S. Eismann; A. Hildebrandt; in Proceedings of the 2015 Symposium on Software Performance (SSP) (2015).
  • Resource Demand Estimatio...
    Resource Demand Estimation in Distributed, Service-Oriented Applications using LibReDE. S. Spinner; (2015, November).
  • Common Errors and Assumpt...
    Common Errors and Assumptions in Energy Measurement and Management. J. von Kistowski; (2015, November).
  • Energy Efficiency of Hier...
    Energy Efficiency of Hierarchical Server Load Distribution Strategies. J. von Kistowski; J. Beckett; K.-D. Lange; H. Block; J. A. Arnold; S. Kounev; in Proceedings of the IEEE 23nd International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2015) (2015).
    Full paper acceptance rate: 19%
  • Quantitative Evaluation o...
    Quantitative Evaluation of Model-Driven Performance Analysis and Simulation of Component-based Architectures. F. Brosig; P. Meier; S. Becker; A. Koziolek; H. Koziolek; S. Kounev; in IEEE Transactions on Software Engineering (TSE) (2015). 41(2) 157–175.
  • Model-based Autonomic and...
    Model-based Autonomic and Performance-aware System Adaptation in Heterogeneous Resource Environments: A Case Study. N. Huber; J. Walter; M. Bähr; S. Kounev; in Proceedings of the 2015 IEEE International Conference on Cloud and Autonomic Computing (ICCAC) (2015).
  • Demonstrating the Prospec...
    Demonstrating the Prospects of Dynamic Application-Aware Networking in a Home Environment. F. Wamser; T. Zinner; L. Iffländer; P. Tran-Gia; in ACM SIGCOMM Computer Communication Review (2015). 44(4) 149–150.
  • Specialized Heuristics fo...
    Specialized Heuristics for the Controller Placement Problem in Large Scale SDN Networks. S. Lange; S. Gebert; J. Spoerhase; P. Rygielski; T. Zinner; S. Kounev; P. Tran-Gia; in 27th International Teletraffic Congress (ITC 2015}) (2015). 210–218.
  • Proactive Memory Scaling of Virtualized Applications. S. Spinner; X. Zhu; L. Lu; M. Uysal; R. Griffith; N. Herbst; S. Kounev; in VMware R&D Innovation Offsite (RADIO) (2015).
  • Performance Isolation in Multi-Tenant Applications. R. Krebs; Thesis; Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany. (2015, August).
  • Proceeding of IEEE International Conference on Autonomic Computing (ICAC2015), Grenoble, France, July 8--10, 2015 S. Kounev; (P. Lalanda; A. Diaconescu; L. Cherkasova; S. Kounev, eds.) (2015). IEEE Computer Society Conference Publishing Services (CPS), Los Alamitos, California.
  • Flexible Performance Pred...
    Flexible Performance Prediction of Data Center Networks using Automatically Generated Simulation Models. P. Rygielski; S. Kounev; P. Tran-Gia; in Proceedings of the Eighth International Conference on Simulation Tools and Techniques (SIMUTools 2015) (2015). 119–128.
  • Parallel Simulation of Qu...
    Parallel Simulation of Queueing Petri Nets. J. Walter; S. Spinner; S. Kounev; in Proceedings of the Eighth EAI International Conference on Simulation Tools and Techniques (SIMUTools 2015) (2015).
  • Performance-oriented DevOps: A Research Agenda. (SPEC-RG-2015-01), A. Brunnert; A. van Hoorn; F. Willnecker; A. Danciu; W. Hasselbring; C. Heger; N. Herbst; P. Jamshidi; R. Jung; J. von Kistowski; A. Koziolek; J. Kross; S. Spinner; C. Vögele; J. Walter; A. Wert; (2015).
  • Parallel Simulation of Queueing Petri Nets. J. Walter; S. Spinner; S. Kounev; in EAI Endorsed Transactions on Industrial Networks and Intelligent Systems (2015). 16(8)
  • TableVisor: An Emulation ...
    TableVisor: An Emulation Layer for Multi-Table OpenFlow Switches. S. Gebert; M. Jarschel; S. Herrnleben; T. Zinner; P. Tran-Gia; in 4th European Workshop on Software Defined Networks (EWSDN) (2015).
2014[ to top ]
  • LIMBO - A Load Intensity Modeling Platform. J. von Kistowski; (2014, March).
  • Data Center Network Throu...
    Data Center Network Throughput Analysis using Queueing Petri Nets. P. Rygielski; S. Kounev; in 34th IEEE International Conference on Distributed Computing Systems Workshops (ICDCS 2014 Workshops). 4th International Workshop on Data Center Performance, (DCPerf 2014) (2014). 100–105.
  • Enriching Software Archit...
    Enriching Software Architecture Models with Statistical Models for Performance Prediction in Modern Storage Environments. Q. Noorshams; R. Reeb; A. Rentschler; S. Kounev; R. Reussner; in Proceedings of the 17th International ACM Sigsoft Symposium on Component-based Software Engineering (2014). 45–54.
    Acceptance Rate (Full Paper): 14/62 = 23%.
  • libieeep1788: A C++ Imple...
    libieeep1788: A C++ Implementation of the IEEE interval standard P1788. M. Nehmeier; in Norbert Wiener in the 21st Century (21CW), 2014 IEEE Conference on (2014). 1–6.
  • Resource Usage Control In...
    Resource Usage Control In Multi-Tenant Applications. R. Krebs; S. Spinner; N. Ahmed; S. Kounev; in Proceedings of the 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2014) (2014). 122–131.
    Acceptance Rate: 19% (54/283)
  • Locations for Performance Ensuring Admission Control in Load Balanced Multi-Tenant Systems. M. Loesch; R. Krebs; in Communications in Computer and Information Science - Third International Conference, CLOSER 2013, Aachen, Germany, May 8-10, 2013, Selected Papers, Springer (ed.) (2014).
  • Ingenieurmässige Entwicklung verlässlicher und effizienter Software-Systeme. S. Kounev; (2014, May).
  • Designing Information Hid...
    Designing Information Hiding Modularity for Model Transformation Languages. A. Rentschler; D. Werle; Q. Noorshams; L. Happe; R. Reussner; in Proceedings of the 13th International Conference on Modularity (AOSD ’14), Lugano, Switzerland, April 22 - 26, 2014 (2014). 217–228.
    Acceptance Rate: 35.0%
  • Comparison of Request Adm...
    Comparison of Request Admission Based Performance Isolation Approaches in Multi-Tenant SaaS Applications (Short Paper). R. Krebs; M. Loesch; in Proceedings of 4th International Conference On Cloud Computing And Services Science (CLOSER 2014) (2014).
  • Self-Adaptive Workload Cl...
    Self-Adaptive Workload Classification and Forecasting for Proactive Resource Provisioning. N. R. Herbst; N. Huber; S. Kounev; E. Amrehn; in Concurrency and Computation - Practice and Experience, John Wiley and Sons, Ltd. (2014). 26(12) 2053–2078.
  • Towards a Resource Elasti...
    Towards a Resource Elasticity Benchmark for Cloud Environments. A. Weber; N. R. Herbst; H. Groenda; S. Kounev; in Proceedings of the 2nd International Workshop on Hot Topics in Cloud Service Scalability (HotTopiCS 2014), co-located with the 5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014) (2014). 5:1–5:8.
  • Optimization Method for R...
    Optimization Method for Request Admission Control to Guarantee Performance Isolation. R. Krebs; P. Schneider; N. Herbst; in Proceedings of the 2nd International Workshop on Hot Topics in Cloud Service Scalability (HotTopiCS 2014), co-located with the 5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014) (2014).
  • LibReDE: A Library for Re...
    LibReDE: A Library for Resource Demand Estimation. S. Spinner; G. Casale; X. Zhu; S. Kounev; in Proceedings of the 5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014) (2014). 227–228.
  • Modeling Variations in Lo...
    Modeling Variations in Load Intensity over Time. J. von Kistowski; N. R. Herbst; S. Kounev; in Proceedings of the 3rd International Workshop on Large-Scale Testing (LT 2014), co-located with the 5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014) (2014). 1–4.
  • SPEC Research Group Newsl...
    SPEC Research Group Newsletter, vol. 1 no. 3. S. Kounev; K. Sachs; P. Rygielski; (2014, March).
    Published by Standard Performance Evaluation Corporation (SPEC)
  • Constructing Performance Model of JMS Middleware Platform. T. Martinec; L. Marek; A. Steinhauser; P. Tuma; Q. Noorshams; A. Rentschler; R. Reussner; in Proceedings of the 5th ACM/SPEC International Conference on Performance Engineering (2014). 123–134.
  • LIMBO: A Tool For Modelin...
    LIMBO: A Tool For Modeling Variable Load Intensities. J. von Kistowski; N. R. Herbst; S. Kounev; in Proceedings of the 5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014) (2014). 225–226.
  • Metrics and Techniques fo...
    Metrics and Techniques for Quantifying Performance Isolation in Cloud Environments. R. Krebs; C. Momm; S. Kounev; in Elsevier Science of Computer Programming Journal (SciCo) (2014). Vol. 90, Part B 116–134.
  • Automated Modeling of I/O...
    Automated Modeling of I/O Performance and Interference Effects in Virtualized Storage Systems. Q. Noorshams; A. Busch; A. Rentschler; D. Bruhn; S. Kounev; P. Tuma; R. Reussner; in 34th IEEE International Conference on Distributed Computing Systems Workshops (ICDCS 2014 Workshops). 4th International Workshop on Data Center Performance, DCPerf ’14 (2014). 88–93.
  • Autonomic Performance-Aware Resource Management in Dynamic IT Service Infrastructures. N. Huber; Thesis; Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany. (2014, July).
  • Architecture-Level Software Performance Models for Online Performance Prediction. F. Brosig; Thesis; Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany. (2014, July).
    Distinction
  • LibReDE - A library for R...
    LibReDE - A library for Resource Demand Estimation. S. Spinner; (2014, July).
  • The Descartes Modeling Language S. Kounev; F. Brosig; N. Huber; (2014).
  • Platform-as-a-Service Arc...
    Platform-as-a-Service Architecture for Performance Isolated Multi-Tenant Applications. R. Krebs; M. Loesch; S. Kounev; in Proceedings of the 7th IEEE International Conference on Cloud Computing (IEEE Cloud 2014) (2014).
  • Modeling Run-Time Adaptat...
    Modeling Run-Time Adaptation at the System Architecture Level in Dynamic Service-Oriented Environments. N. Huber; A. van Hoorn; A. Koziolek; F. Brosig; S. Kounev; in Service Oriented Computing and Applications Journal (SOCA) (2014). 8(1) 73–89.
  • Performance Queries for A...
    Performance Queries for Architecture-Level Performance Models. F. Gorsler; F. Brosig; S. Kounev; in Proceedings of the 5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014) (2014).
    Acceptance Rate (Full Paper): 14/56 = 25%.
  • Parallel Simulation of Qu...
    Parallel Simulation of Queueing Petri Nets. J. Walter; S. Spinner; S. Kounev; (2014, November).
  • The Descartes Modeling La...
    The Descartes Modeling Language: Status Quo. S. Kounev; (2014, November).
  • LibReDE: A Library for Re...
    LibReDE: A Library for Resource Demand Estimation. S. Spinner; J. Walter; (2014, November).
  • Using and Extending LIMBO...
    Using and Extending LIMBO for the Descriptive Modeling of Arrival Behaviors. J. von Kistowski; N. R. Herbst; S. Kounev; in Proceedings of the Symposium on Software Performance 2014 (2014). 131–140.
    Best Poster Award
  • Experience Report: An Ana...
    Experience Report: An Analysis of Hypercall Handler Vulnerabilities. A. Milenkoski; B. D. Payne; N. Antunes; M. Vieira; S. Kounev; in Proceedings of The 25th IEEE International Symposium on Software Reliability Engineering (ISSRE 2014) --- Research Track (2014).
    Acceptance Rate: 25%, Best Paper Award Nomination
  • Quantitative Evaluation o...
    Quantitative Evaluation of Service Dependability in Shared Execution Environments (Extended Abstract of Keynote Talk). S. Kounev; in Proceedings of the 11th International Conference on Quantitative Evaluation of SysTems (QEST 2014), Florence, Italy (2014).
  • Implementing Application-...
    Implementing Application-Aware Resource Allocation on a Home Gateway for the Example of YouTube. F. Wamser; L. Iffländer; T. Zinner; P. Tran-Gia; in International Conference on Mobile Networks and Management (2014). 301–312.
  • Demonstrating the Prospec...
    Demonstrating the Prospects of Dynamic Application-Aware Networking in a Home Environment. F. Wamser; T. Zinner; L. Iffländer; P. Tran-Gia; in Proceedings of the 2014 ACM conference on SIGCOMM (2014).
  • Remodularizing Legacy Mod...
    Remodularizing Legacy Model Transformations with Automatic Clustering Techniques. A. Rentschler; D. Werle; Q. Noorshams; L. Happe; R. Reussner; in Proceedings of the 3rd Workshop on the Analysis of Model Transformations (AMT@MODELS 2014), Valencia, Spain, September 29, 2014, B. Baudry, J. Dingel, L. Lucio, H. Vangheluwe (eds.) (2014).
  • Model-Based Runtime Performance Management for Virtualized Applications. S. Spinner; S. Kounev; X. Zhu; L. Lu; M. Uysal; A. Holler; R. Griffith; P. Padala; in VMware R&D Innovation Offsite (RADIO) (2014).
  • Technical Information on Vulnerabilities of Hypercall Handlers A. Milenkoski; M. Vieira; B. D. Payne; N. Antunes; S. Kounev; (2014).
  • Modeling of I/O Performan...
    Modeling of I/O Performance Interference in Virtualized Environments with Queueing Petri Nets. Q. Noorshams; K. Rostami; S. Kounev; R. Reussner; in Proceedings of the IEEE 22nd International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (2014).
  • Architecture-Level Softwa...
    Architecture-Level Software Performance Abstractions for Online Performance Prediction. F. Brosig; N. Huber; S. Kounev; in Elsevier Science of Computer Programming Journal (SciCo) (2014). Vol. 90, Part B 71–92.
  • Runtime Vertical Scaling ...
    Runtime Vertical Scaling of Virtualized Applications via Online Model Estimation. S. Spinner; S. Kounev; X. Zhu; L. Lu; M. Uysal; A. Holler; R. Griffith; in Proceedings of the 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems (SASO) (2014). 157–166.
    Acceptance Rate (Full Papers): 26%
  • Quantitative Evaluation o...
    Quantitative Evaluation of Service Dependability in Shared Execution Environments. S. Kounev; (2014, September).
  • Descartes Network Infrast...
    Descartes Network Infrastructures (DNI) Manual: Meta-models, Transformations, Examples P. Rygielski; S. Kounev; (2014).
2013[ to top ]
  • Modelling Event-Based Interactions in Component-Based Architectures for Quantitative System Evaluation. C. Rathfelder; Thesis; KIT Scientific Publishing. (2013).
  • Modeling Event-based Comm...
    Modeling Event-based Communication in Component-based Software Architectures for Performance Predictions. C. Rathfelder; B. Klatt; K. Sachs; S. Kounev; in Journal of Software and Systems Modeling (SoSyM) (2013). 1–27.
  • Ingenieurmässige Entwicklung verlässlicher und effizienter Software-Systeme. S. Kounev; (2013, March).
  • The Descartes Meta-Model (DMM) - An Architecture-level Modeling Language for Online Quality-of-Service and Resource Management. S. Kounev; (2013, March).
  • Network Virtualization fo...
    Network Virtualization for QoS-Aware Resource Management in Cloud Data Centers: A Survey. P. Rygielski; S. Kounev; in PIK --- Praxis der Informationsverarbeitung und Kommunikation (2013). 36(1) 55–64.
  • Parallel Interval Newton ...
    Parallel Interval Newton Method on CUDA. P.-D. Beck; M. Nehmeier; in Applied Parallel and Scientific Computing, P. Manninen, P. Öster (eds.) (2013). (Vol. 7782) 454–464.
  • Variants of the general i...
    Variants of the general interval power function. O. Heimlich; M. Nehmeier; J. Wolff von Gudenberg; in Soft Computing (2013). 17(8) 1357–1366.
  • Probabilistic tenant selection in quota enforcing Request Admission mechanisms for Shared Applications. A. Mehta; R. Krebs; (2013).
  • Predictive Performance Mo...
    Predictive Performance Modeling of Virtualized Storage Systems using Optimized Statistical Regression Techniques. Q. Noorshams; D. Bruhn; S. Kounev; R. Reussner; in Proceedings of the ACM/SPEC International Conference on Performance Engineering (ICPE 2013) (2013). 283–294.
  • ERC Starting Grant Finalist. S. Kounev; (2013).
  • Modelling Event-Based Interactions in Component-Based Architectures for Quantitative System Evaluation C. Rathfelder; in The Karlsruhe Series on Software Design and Quality (2013). (Vol. 10) KIT Scientific Publishing, Karlsruhe, Germany.
  • Performance modeling and ...
    Performance modeling and analysis of message-oriented event-driven systems. K. Sachs; S. Kounev; A. Buchmann; in Journal of Software and Systems Modeling (2013). 12(4) 705–729.
  • Multi-Stage Feedback controller for prioritizing tenants for Multi-Tenant application. R. Krebs; A. Mehta; (2013).
  • Soft Reservations: Uncert...
    Soft Reservations: Uncertainty-Aware Resource Reservations in IaaS Environments. S. V. Mohammadi; S. Kounev; A. Juan-Verdejo; B. Surajbali; in Proceedings of the 3rd International Symposium on Business Modeling and Software Design (BMSD 2013) (2013).
  • Deriving performance-relevant infrastructure properties through model-based experiments with Ginpex. M. Hauck; M. Kuperberg; N. Huber; R. Reussner; in Software & Systems Modeling (2013). 1–21.
  • A Generic Approach for Ar...
    A Generic Approach for Architecture-level Performance Modeling and Prediction of Virtualized Storage Systems. Q. Noorshams; A. Rentschler; S. Kounev; R. Reussner; in Proceedings of the ACM/SPEC International Conference on Performance Engineering (2013). 339–342.
  • I/O Performance Modeling ...
    I/O Performance Modeling of Virtualized Storage Systems. Q. Noorshams; K. Rostami; S. Kounev; P. Tuma; R. Reussner; in Proceedings of the 21st IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2013) (2013). 121–130.
    Acceptance Rate (Full Paper): 44/163 = 27%
  • A Feedback Controlled Sch...
    A Feedback Controlled Scheduler for Performance Isolation in Multi-tenant Applications. R. Krebs; A. Mehta; in Proceedings of the 3rd IEEE International Conference on Cloud and Green Computing (CGC 2013) (2013).
  • Application Level Based Resource Management in Multi-Tenant Applications. R. Krebs; A. Mehta; (2013).
  • HInjector: Injecting Hype...
    HInjector: Injecting Hypercall Attacks for Evaluating VMI-based Intrusion Detection Systems. A. Milenkoski; B. D. Payne; N. Antunes; M. Vieira; S. Kounev; in The 2013 Annual Computer Security Applications Conference (ACSAC 2013) (2013).
  • Proceedings of the 2013 International Workshop on Hot Topics in Cloud Services (HotTopiCS 2013) K. Sachs; (S. Kounev; S. Zschaler; K. Sachs, eds.) (2013). ACM.
  • RELATE: A Research Training Network on Engineering and Provisioning of Service-Based Cloud Applications. S. Kounev; (2013, April).
  • Online model-based perfor...
    Online model-based performance and resource management in virtualized application environments. S. Kounev; (2013, July).
  • RELATE: A Research Training Network on Engineering and Provisioning of Service-Based Cloud Applications. S. Kounev; S. Rizou; S. Zschaler; S. Alexakis; T. Bures; J.-M. Jézéquel; D. Kourtesis; S. Pantelopoulos; in International Workshop on Hot Topics in Cloud Services (HotTopiCS 2013) (2013).
  • Model-Based Throughput Pr...
    Model-Based Throughput Prediction in Data Center Networks. P. Rygielski; S. Kounev; S. Zschaler; in Proceedings of the 2nd IEEE International Workshop on Measurements and Networking (M\&N 2013) (2013). 167–172.
  • Towards Online Performanc...
    Towards Online Performance Model Extraction in Virtualized Environments. S. Spinner; S. Kounev; X. Zhu; M. Uysal; in Proceedings of the 8th Workshop on Models @ Run.time (MRT 2013) co-located with ACM/IEEE 16th International Conference on Model Driven Engineering Languages and Systems (MODELS 2013), N. Bencomo, R. France, S. Götz, B. Rumpe (eds.) (2013). 89–95.
  • Using Queuing Models for ...
    Using Queuing Models for Large System Migration Scenarios -- An Industrial Case Study with IBM System z. R. Vaupel; Q. Noorshams; S. Kounev; R. Reussner; in Computer Performance Engineering, Proceedings of the 10th European Performance Engineering Workshop (EPEW 2013), Venice, Italy, M. S. Balsamo, W. J. Knottenbelt, A. Marin (eds.) (2013). (Vol. 8168) 263–275.
  • Evaluating Approaches for...
    Evaluating Approaches for Performance Prediction in Virtualized Environments. F. Brosig; F. Gorsler; N. Huber; S. Kounev; in Proceedings of the IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2013) (2013).
  • Online workload forecasting and performance prediction for elastic capacity management in cloud environments. S. Kounev; (2013, July).
  • Multi-Tenancy Performance...
    Multi-Tenancy Performance Benchmark for Web Application Platforms. R. Krebs; A. Wert; S. Kounev; in Proceedings of the 13th International Conference on Web Engineering (ICWE 2013) (2013).
  • Experimental Evaluation o...
    Experimental Evaluation of the Performance-Influencing Factors of Virtualized Storage Systems. Q. Noorshams; S. Kounev; R. Reussner; in Computer Performance Engineering. 9th European Performance Engineering Workshop (EPEW 2012), Munich, Germany, July 30, 2012, and 28th UK Performance Engineering Workshop (UKPEW 2012), Edinburgh, UK, July 2, 2012, Revised Selected Papers, M. Tribastone, S. Gilmore (eds.) (2013). (Vol. 7587) 63–79.
  • Controlling the Palladio ...
    Controlling the Palladio Bench using the Descartes Query Language. F. Gorsler; F. Brosig; S. Kounev; in Proceedings of the Symposium on Software Performance: Joint Kieker/Palladio Days (KPDAYS 2013), S. Becker, W. Hasselbring, A. van Hoorn, R. Reussner (eds.) (2013). 109–118.
  • Interactive Visual Analyt...
    Interactive Visual Analytics for Efficient Maintenance of Model Transformations. A. Rentschler; Q. Noorshams; L. Happe; R. Reussner; in Proceedings of the 6th International Conference on Model Transformation (ICMT ’13), Budapest, Hungary, K. Duddy, G. Kappel (eds.) (2013). (Vol. 7909) 141–157.
    Acceptance Rate: 20.7%
  • Cloud Usage Patterns: A F...
    Cloud Usage Patterns: A Formalism for Description of Cloud Usage Scenarios A. Milenkoski; A. Iosup; S. Kounev; K. Sachs; P. Rygielski; J. Ding; W. Cirne; F. Rosenberg; (2013).
  • Elasticity in Cloud Compu...
    Elasticity in Cloud Computing: What it is, and What it is Not. N. R. Herbst; S. Kounev; R. Reussner; in Proceedings of the 10th International Conference on Autonomic Computing (ICAC 2013) (2013).
    Acceptance Rate (Short Paper): 36.9%
  • Proceedings of the 2013 International Workshop on Hot Topics in Cloud Services (HotTopiCS 2013) S. Kounev; (S. Kounev; S. Zschaler; K. Sachs, eds.) (2013). ACM.
  • Self-Adaptive Workload Cl...
    Self-Adaptive Workload Classification and Forecasting for Proactive Resource Provisioning. N. R. Herbst; N. Huber; S. Kounev; E. Amrehn; in Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering (ICPE 2013) (2013). 187–198.
  • A Meta-Model for Performa...
    A Meta-Model for Performance Modeling of Dynamic Virtualized Network Infrastructures. P. Rygielski; S. Zschaler; S. Kounev; in Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering (ICPE 2013) (2013). 327–330.
  • Conceptual Approach for P...
    Conceptual Approach for Performance Isolation in Multi-Tenant Systems. M. Loesch; R. Krebs; in Proceedings of the 3rd International Conference on Cloud Computing and Service Science (CLOSER 2013) (2013).
  • Modeling of Event-based C...
    Modeling of Event-based Communication in Component-based Architectures: State-of-the-Art and Future Directions. S. Kounev; C. Rathfelder; B. Klatt; in Electronic Notes in Theoretical Computer Science (ENTCS) (2013). 295 3–9.
  • On Benchmarking Intrusion Detection Systems in Virtualized Environments A. Milenkoski; S. Kounev; A. Avritzer; N. Antunes; M. Vieira; (2013).
  • SPEC Research Group Newsl...
    SPEC Research Group Newsletter, vol. 1 no. 2. S. Kounev; K. Sachs; P. Rygielski; (2013, June).
    Published by Standard Performance Evaluation Corporation (SPEC)
2012[ to top ]
  • A Framework for Multi-level SLA Management. W. Theilmann; S. G. Gomez; J. Kennedy; D. Lorenzoli; C. Rathfelder; T. Roeblitz; G. Zacco; in Handbook of Research on Service-Oriented Systems and Non-Functional Properties: Future Directions, S. Reiff-Marganiec, M. Tilly (eds.) (2012). 470–490.
  • Architectural Concerns in...
    Architectural Concerns in Multi-Tenant SaaS Applications. R. Krebs; C. Momm; S. Kounev; in Proceedings of the 2nd International Conference on Cloud Computing and Services Science (CLOSER 2012) (2012).
  • Introduction to Queueing Petri Nets: Modeling Formalism, Tool Support and Case Studies. S. Kounev; (2012, April).
  • Systematic adoption of ge...
    Systematic adoption of genetic programming for deriving software performance curves. M. Faber; J. Happe; in Proceedings of 3rd ACM/SPEC Internatioanl Conference on Performance Engineering (ICPE 2012) (2012). 33–44.
  • Introduction to Queueing ...
    Introduction to Queueing Petri Nets: Modeling Formalism, Tool Support and Case Studies (Tutorial Paper). S. Kounev; S. Spinner; P. Meier; in Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering (ICPE 2012), Boston, USA, 22-25 April 2012 (2012). 9–18.
  • Modeling of Event-based Communication in Component-based Architectures: State-of-the-Art and Future Directions. S. Kounev; (2012, March).
  • Cloud Computing Challenges and Opportunities for Service Providers. S. Kounev; (2012, May).
  • Expression Templates and ...
    Expression Templates and OpenCL. U. Bawidamann; M. Nehmeier; in Parallel Processing and Applied Mathematics, R. Wyrzykowski, J. Dongarra, K. Karczewski, J. Wa’s}}niewski (eds.) (2012). (Vol. 7204) 71–80.
  • Providing Dependability a...
    Providing Dependability and Resilience in the Cloud: Challenges and Opportunities. S. Kounev; P. Reinecke; F. Brosig; J. T. Bradley; K. Joshi; V. Babka; A. Stefanek; S. Gilmore; in Resilience Assessment and Evaluation of Computing Systems, K. Wolter, A. Avritzer, M. Vieira, A. van Moorsel (eds.) (2012).
    ISBN: 978-3-642-29031-2
  • A Method for Experimental...
    A Method for Experimental Analysis and Modeling of Virtualization Performance Overhead. N. Huber; M. von Quast; F. Brosig; M. Hauck; S. Kounev; in Cloud Computing and Services Science, I. Ivanov, M. van Sinderen, B. Shishkov (eds.) (2012). 353–370.
  • Interval arithmetic using expression templates, template meta programming and the upcoming C++ standard. M. Nehmeier; in Computing (2012). 94(2-4) 215–228.
  • Generative Programming for Automatic Differentiation. M. Nehmeier; in Recent Advances in Algorithmic Differentiation, S. Forth, P. Hovland, E. Phipps, J. Utke, A. Walther (eds.) (2012). (Vol. 87) 261–271.
  • Specification of hardware for interval arithmetic. M. Nehmeier; S. Siegel; J. Wolff von Gudenberg; in Computing (2012). 94(2-4) 243–255.
  • Online prediction: Four c...
    Online prediction: Four case studies. K. Gilly; F. Brosig; R. Nou; S. Kounev; C. Juiz; in Resilience Assessment and Evaluation of Computing Systems, K. Wolter, A. Avritzer, M. Vieira, A. van Moorsel (eds.) (2012).
    ISBN: 978-3-642-29031-2
  • Resilience Benchmarking
    Resilience Benchmarking. M. Vieira; H. Madeira; K. Sachs; S. Kounev; in Resilience Assessment and Evaluation of Computing Systems, K. Wolter, A. Avritzer, M. Vieira, A. van Moorsel (eds.) (2012).
    ISBN: 978-3-642-29031-2
  • Parallel Detection of Int...
    Parallel Detection of Interval Overlapping. M. Nehmeier; S. Siegel; J. Wolff von Gudenberg; in Applied Parallel and Scientific Computing, K. Jönasson (ed.) (2012). (Vol. 7134) 127–136.
  • Providing Dependability a...
    Providing Dependability and Performance in the Cloud: Case Studies. N. Huber; F. Brosig; N. Dingle; K. Joshi; S. Kounev; in Resilience Assessment and Evaluation of Computing Systems, K. Wolter, A. Avritzer, M. Vieira, A. van Moorsel (eds.) (2012).
    ISBN: 978-3-642-29031-2
  • Model-based Techniques fo...
    Model-based Techniques for Performance Engineering of Business Information Systems. S. Kounev; N. Huber; S. Spinner; F. Brosig; in Business Modeling and Software Design, B. Shishkov (ed.) (2012). (Vol. 0109) 19–37.
  • Model-based Self-Adaptive Resource Management in Virtualized Environments. S. Kounev; (2012, April).
  • Industry Trends and Research Challenges in Cloud Computing. S. Kounev; (2012, March).
  • Engineering of Self-Aware Software Systems -- An Online Model-based Approach. S. Kounev; (2012, May).
  • SPEC Research Group Newsl...
    SPEC Research Group Newsletter, vol. 1 no. 1. S. Kounev; K. Sachs; P. Rygielski; (2012, September).
    Published by Standard Performance Evaluation Corporation (SPEC)
  • Towards Benchmarking Intr...
    Towards Benchmarking Intrusion Detection Systems for Virtualized Cloud Environments. A. Milenkoski; S. Kounev; in Proceedings of the 7th International Conference for Internet Technology and Secured Transactions (ICITST 2012) (2012). 562–563.
  • Intelligentes Mapping für Indoor-Quadrocopter. N. Schmitt; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2012, December).
  • Entwicklung und Evaluieru...
    Entwicklung und Evaluierung eines Systems zur Bestimmung der Orientierung und Position eines Objektes durch inertiale und magnetische Sensoren. L. Iffländer; N. Gageik; Thesis; University of Würzburg. (2012, December).
  • Design-Time vs. Run-Time ...
    Design-Time vs. Run-Time Models for Quality-of-Service Prediction. S. Kounev; (2012, December).
  • Ingenieurmässige Entwicklung verlässlicher und effizienter Software-Systeme. S. Kounev; (2012, November).
  • Towards Truthful Resource...
    Towards Truthful Resource Reservation in Cloud Computing. D. Funke; F. Brosig; M. Faber; in Proceedings of the 6th International ICST Conference on Performance Evaluation Methodologies and Tools (ValueTools 2012), Carg`ese, France (2012).
  • S/T/A: Meta-Modeling Run-...
    S/T/A: Meta-Modeling Run-Time Adaptation in Component-Based System Architectures. N. Huber; A. van Hoorn; A. Koziolek; F. Brosig; S. Kounev; in Proceedings of the 9th IEEE International Conference on e-Business Engineering (ICEBE 2012) (2012). 70–77.
    Acceptance Rate (Full Paper): 19.7% (26/132)
  • Automated Inference of Goal-oriented Performance Prediction Functions. D. Westermann; J. Happe; R. Krebs; R. Farahbod; in Proceedings of the 27th IEEE/ACM International Conference On Automated Software Engineering (ASE 2012) (2012).
  • The Descartes Meta-Model for Online QoS and Resource Management. S. Kounev; (2012, May).
  • Workload-aware System Mon...
    Workload-aware System Monitoring Using Performance Predictions Applied to a Large-scale E-Mail System. C. Rathfelder; S. Becker; K. Krogmann; R. Reussner; in Proceedings of the Joint 10th Working IEEE/IFIP Conference on Software Architecture (WICSA) & 6th European Conference on Software Architecture (ECSA) (2012). 31–40.
    Acceptance Rate (Full Paper): 19.8%
  • Stochastic Modeling and A...
    Stochastic Modeling and Analysis using QPME: Queueing Petri Net Modeling Environment v2.0. S. Spinner; S. Kounev; P. Meier; in Proceedings of the 33rd International Conference on Application and Theory of Petri Nets and Concurrency (Petri Nets 2012), S. Haddad, L. Pomello (eds.) (2012). (Vol. 7347) 388–397.
  • Enhancing the Usability of Outliers by Description of Local Deviation. J. Walter; Thesis; Karlsruhe Institute of Technology (KIT); Am Fasanengarten 5, 76131 Karlsruhe, Germany. (2012, July).
  • Modeling Virtualized Cloud Data Center Networks: Do We need QoS in Networks?. P. Rygielski; (2012, June).
  • Modeling Parameter and Co...
    Modeling Parameter and Context Dependencies in Online Architecture-Level Performance Models. F. Brosig; N. Huber; S. Kounev; in Proceedings of the 15th ACM SIGSOFT International Symposium on Component Based Software Engineering (CBSE 2012), June 26--28, 2012, Bertinoro, Italy (2012).
    Acceptance Rate (Full Paper): 28.5%.
  • User Assignment and Movem...
    User Assignment and Movement Prediction in Wireless Networks. P. ’S}}wika}tek; P. Rygielski; K. Juszczyszyn; A. Grzech; in Cybernetics and Systems: An International Journal (CBS) (2012). 43(4) 340–353.
    5-Year Impact Factor (2014): 0.968
  • Introduction to the Desca...
    Introduction to the Descartes Meta-Model (DMM). S. Kounev; (2012, June).
  • Metrics and Techniques fo...
    Metrics and Techniques for Quantifying Performance Isolation in Cloud Environments. R. Krebs; C. Momm; S. Kounev; in Proceedings of the 8th ACM SIGSOFT International Conference on the Quality of Software Architectures (QoSA 2012), B. Buhnova, A. Vallecillo (eds.) (2012). 91–100.
    Acceptance Rate (Full Paper): 25.6%
  • Modeling Dynamic Virtuali...
    Modeling Dynamic Virtualized Resource Landscapes. N. Huber; F. Brosig; S. Kounev; in Proceedings of the 8th ACM SIGSOFT International Conference on the Quality of Software Architectures (QoSA 2012) (2012). 81–90.
    Acceptance Rate (Full Paper): 25.6%
  • Engineering of Dependable and Efficient Self-Aware Complex Systems. S. Kounev; (2012, July).
2011[ to top ]
  • Handover: a Tool for Opti...
    Handover: a Tool for Optimization of Wireless Networks. P. ’S}}wika}tek; P. Rygielski; A. Grzech; in Proceedings of the First European Teletraffic Seminar: an initiative to strengthen collaboration on Network Design and Performance (ETS 2011), G. Danilewicz (ed.) (2011). 80–84.
  • Evaluating and Modeling V...
    Evaluating and Modeling Virtualization Performance Overhead for Cloud Environments. N. Huber; M. von Quast; M. Hauck; S. Kounev; in Proceedings of the 1st International Conference on Cloud Computing and Services Science (CLOSER 2011) (2011). 563–573.
    Acceptance Rate: 18/164 = 10.9%, Best Paper Award
  • Descartes Research Group at KIT: Towards Engineering of Self-Aware Software Systems. S. Kounev; (2011, April).
  • Software Performance Analysis using Machine Learning Techniques. M. Faber; Thesis; Karlsruhe Institute of Technology (KIT); Karlsruhe, Germany. (2011, March).
  • Automated Simulation-Base...
    Automated Simulation-Based Capacity Planning for Enterprise Data Fabrics. S. Kounev; K. Bender; F. Brosig; N. Huber; R. Okamoto; in 4th International ICST Conference on Simulation Tools and Techniques (SIMUtools 2011), March 21--25, 2011, Barcelona, Spain (2011).
    Acceptance Rate (Full Paper): 29.8% (23/77), ICST Best Paper Award
  • ICPE’11 - 2nd Joint ACM/SPEC International Conference on Performance Engineering, Karlsruhe, Germany, March 14--16, 2011 S. Kounev; (S. Kounev; V. Cortellessa; R. Mirandola; D. J. Lilja, eds.) (2011). ACM, New York, NY, USA.
  • A Qualitative Discussion ...
    A Qualitative Discussion of Different Approaches for Implementing Multi-Tenant SaaS Offerings. C. Momm; R. Krebs; in Proceedings of the Software Engineering 2011 -- Workshopband (ESoSyM-2011), R. Reussner, A. amd J. Pretschner (eds.) (2011). 139–150.
  • Self-Aware Software and Systems Engineering: A Vision and Research Roadmap. S. Kounev; (2011, February).
  • Online Performance Predic...
    Online Performance Prediction with Architecture-Level Performance Models. F. Brosig; in Software Engineering (Workshops) - Doctoral Symposium, February 21--25, 2011, R. Reussner, A. Pretschner, S. Jähnichen (eds.) (2011). (Vol. 184) 279–284.
  • Focussing Multi-objective...
    Focussing Multi-objective Software Architecture Optimization Using Quality of Service Bounds. A. Koziolek; Q. Noorshams; R. Reussner; in Models in Software Engineering, Workshops and Symposia at MODELS 2010, Oslo, Norway, October 3-8, 2010, Reports and Revised Selected Papers, J. Dingel, A. Solberg (eds.) (2011). (Vol. 6627) 384–399.
  • Automatic Performance Model Extraction for Run-Time Capacity Management. S. Kounev; (2011, January).
  • Interval Comparisons and Lattice Operations based on the Interval Overlapping Relation. M. Nehmeier; J. Wolff von Gudenberg; in Proceedings of the World Conference on Soft Computing 2011 (WConSC’11) (2011).
  • filib++, Expression Templates and the Coming Interval Standard. M. Nehmeier; J. Wolff von Gudenberg; in Reliable Computing (2011). 15(4) 312–320.
  • Self-Aware Software and S...
    Self-Aware Software and Systems Engineering: A Vision and Research Roadmap. S. Kounev; in GI Softwaretechnik-Trends, 31(4), November 2011, ISSN 0720-8928 (2011).
  • The Open Reference Case A Reference Use Case for the SLA@SOI Framework. C. Rathfelder; B. Klatt; G. Falcone; in Service Level Agreements for Cloud Computing, P. Wieder, J. M. Butler, W. Theilmann, R. Yahyapour (eds.) (2011). 27–40.
  • Automatyczna kompozycja u...
    Automatyczna kompozycja uslug monitorowania dla systemu wspomagania treningu wytrzymalo’s}ciowego sportowców. K. Brzostowski; P. Rygielski; in Przeglka}d Telekomunikacyjny, Wiadomo’s}}ci Telekomunikacyjne (2011). 84 1017–1022.
    In Polish
  • Automated Transformation ...
    Automated Transformation of Component-based Software Architecture Models to Queueing Petri Nets. P. Meier; S. Kounev; H. Koziolek; in 19th IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2011), Singapore, July 25--27 (2011).
  • Engineering of Self-Aware...
    Engineering of Self-Aware IT Systems and Services: State-of-the-Art and Research Challenges. S. Kounev; in Proceedings of the 8th European Performance Engineering Workshop (EPEW’11), Borrowdale, The English Lake District, October 12--13 (2011).
    (Extended Abstract of Keynote Talk)
  • Defining and Quantifying ...
    Defining and Quantifying Elasticity of Resources in Cloud Computing and Scalable Platforms M. Kuperberg; N. R. Herbst; J. G. von Kistowski; R. Reussner; (2011). (Vol. 16)
  • QPME 2.0 User’s Guide S. Kounev; S. Spinner; J. Walter; (2011). Karlsruhe Institute of Technology, Am Fasanengarten 5, 76131 Karlsruhe, Germany.
  • Model-based Self-Adaptive...
    Model-based Self-Adaptive Resource Allocation in Virtualized Environments. N. Huber; F. Brosig; S. Kounev; in 6th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2011) (2011). 90–99.
    Acceptance Rate (Full Paper): 27% (21/76)
  • Integration of event-base...
    Integration of event-based communication in the palladio software quality prediction framework. B. Klatt; C. Rathfelder; S. Kounev; in Proceedings of the joint ACM SIGSOFT conference -- QoSA and ACM SIGSOFT symposium -- ISARCS on Quality of software architectures -- QoSA and architecting critical systems -- ISARCS (QoSA-ISARCS 2011) (2011). 43–52.
  • Palladio Workbench: A Qua...
    Palladio Workbench: A Quality-Prediction Tool for Component-Based Architectures. C. Rathfelder; B. Klatt; in Proceedings of the 2011 Ninth Working IEEE/IFIP Conference on Software Architecture (WICSA 2011) (2011). 347–350.
  • Capacity Planning for Eve...
    Capacity Planning for Event-based Systems using Automated Performance Predictions. C. Rathfelder; S. Kounev; D. Evans; in 26th IEEE/ACM International Conference On Automated Software Engineering (ASE 2011) (2011). 352–361.
    Acceptance Rate (Full Paper): 14.7% (37/252)
  • Performance Modeling for Quality of Service Prediction in Service-Oriented Systems C. Rathfelder; B. Klatt; F. Brosch; S. Kounev; in Handbook of Research on Service-Oriented Systems and Non-Functional Properties: Future Directions, (S. Reiff-Marganiec; M. Tilly, eds.) (2011). 258–279. IGI Global, Hershey, PA, USA.
  • Quality Prediction in Ser...
    Quality Prediction in Service Composition Frameworks. B. Klatt; F. Brosch; Z. Durdik; C. Rathfelder; in 5th Workshop on Non-Functional Properties and SLA Management in Service-Oriented Computing (NFPSLAM-SOC 2011) (2011).
  • Generative Programming for Automatic Differentiation in C++0x. (483), M. Nehmeier; (2011).
  • Resources Management and Services Personalization in Future Internet Applications. P. ’S}}wika}tek; P. Rygielski; A. Grzech; in Advances in Electronics and Telecommunications (2011). 2(3) 50–54.
  • Model-based Self-Adaptive Resource Management in Virtualized Environments. S. Kounev; (2011, June).
  • Universal Comunication Platform for QoS-aware Delivery of Complex Services. P. ’S}}wika}tek; P. Rygielski; in Proceedings of the VIth International Scientific and Technical Conference (CSIT 2011) (2011). 136–139.
  • Descartes Research Group at KIT: Engineering of Self-Aware IT Systems and Services. S. Kounev; (2011, November).
  • From Offline to Online Component Models for Run-Time Resource Management. S. Kounev; (2011, November).
  • Automated Extraction of A...
    Automated Extraction of Architecture-Level Performance Models of Distributed Component-Based Systems. F. Brosig; N. Huber; S. Kounev; in 26th IEEE/ACM International Conference On Automated Software Engineering (ASE 2011) (2011).
    Acceptance Rate (Full Paper): 14.7% (37/252)
  • Engineering of Self-Aware IT Systems and Services. S. Kounev; (2011, November).
  • Engineering of Self-Aware IT Systems and Services: State-of-the-Art and Research Challenges. S. Kounev; (2011, October).
  • Context Change Detection ...
    Context Change Detection for Resource Allocation in Service-Oriented Systems. P. Rygielski; J. Tomczak; in Knowledge-Based and Intelligent Information and Engineering Systems, Part II (KES 2011), A. Koenig, A. Dengel, K. Hinkelmann, K. Kise, R. Howlett, L. Jain (eds.) (2011). (1st ed., Vol. 6882) 591–600.
  • Fifth International Workshop on the Practical Application of Stochastic Modelling (PASM) F. Brosig; in Electronic Notes in Theoretical Computer Science, (N. Thomas; J. Bradley; W. Knottenbelt; S. Kounev; N. Huber; F. Brosig, eds.) (2011). (Vol. 275) 1–174. Elsevier Science Publishers B. V., Amsterdam, The Netherlands.
  • Prediction Based Handover...
    Prediction Based Handovers for Wireless Networks Resources Management. P. Rygielski; P. ’S}}wika}tek; K. Juszczyszyn; A. Grzech; in Knowledge-Based and Intelligent Information and Engineering Systems, Part II (KES 2011), A. Koenig, A. Dengel, K. Hinkelmann, K. Kise, R. Howlett, L. Jain (eds.) (2011). (1st ed., Vol. 6882) 687–696.
  • Fifth International Workshop on the Practical Application of Stochastic Modelling (PASM) N. Huber; in Electronic Notes in Theoretical Computer Science, (N. Thomas; J. Bradley; W. Knottenbelt; S. Kounev; N. Huber; F. Brosig, eds.) (2011). (Vol. 275) 1–174. Elsevier Science Publishers B. V., Amsterdam, The Netherlands.
  • Migration-aware Optimizat...
    Migration-aware Optimization of Virtualized Computational Resources Allocation in Complex Systems. P. Rygielski; A. Gonczarek; in ICSEng 2011: Proceedings of the 21st international conference on Systems Engineering (ICSEng 2011), H. Selvaraj, D. Zydek (eds.) (2011). 212–216.
  • Performance Engineering o...
    Performance Engineering of Business Information Systems - Filling the Gap between High-level Business Services and Low-level Performance Models. S. Kounev; in International Symposium on Business Modeling and Software Design (BMSD 2011), Sofia, Bulgaria, July 27--28, 2011 (2011).
  • Self-Aware QoS Management...
    Self-Aware QoS Management in Virtualized Infrastructures. S. Kounev; F. Brosig; N. Huber; in 8th International Conference on Autonomic Computing (ICAC 2011) (2011).
  • Efficient Experiment Sele...
    Efficient Experiment Selection in Automated Software Performance Evaluations. D. Westermann; R. Krebs; J. Happe; in Proceedings of the Computer Performance Engineering - 8th European Performance Engineering Workshop (EPEW 2011) (2011). 325–339.
  • Ginpex: Deriving Performa...
    Ginpex: Deriving Performance-relevant Infrastructure Properties Through Goal-oriented Experiments. M. Hauck; M. Kuperberg; N. Huber; R. Reussner; in Proceedings of the 7th ACM SIGSOFT International Conference on the Quality of Software Architectures (QoSA 2011) (2011). 53–62.
2010[ to top ]
  • Statistical Inference of ...
    Statistical Inference of Software Performance Models for Parametric Performance Completions. J. Happe; D. Westermann; K. Sachs; L. Kapova; in Research into Practice - Reality and Gaps (Proceedings of QoSA 2010), G. Heineman, J. Kofron, F. Plasil (eds.) (2010). (Vol. 6093) 20–35.
  • Benchmarking Publish/Subs...
    Benchmarking Publish/Subscribe-based Messaging Systems. K. Sachs; S. Appel; S. Kounev; A. Buchmann; in Proc. of 2nd International Workshop on Benchmarking of Database Management Systems and Data-Oriented Web Technologies (BenchmarX’10)., M. Necasky, E. Pardede (eds.) (2010). (Vol. 6193)
  • Comprehensive tool suppor...
    Comprehensive tool support for iterative SOA evolution. T. Schuster; C. Rathfelder; N. Schuster; J. Nimis; in Proceedings of the International Workshop on SOA Migration and Evolution 2010 (SOAME 2010) as part of the 14th European Conference on Software Maintenance and Reengineering (CSMR 2010) (2010). 1–10.
  • METHOD AND SYSTEM FOR FOR AN ADAPTIVE LEARNING STRATEGY. R. Krebs; (2010, March).
  • QoS-aware Infrastructure ...
    QoS-aware Infrastructure Resources Allocation in Systems Based on Service-Oriented Architecture Paradigm. A. Grzech; P. Rygielski; P. ’S}}wika}tek; in Performance modelling and evaluation of heterogeneous networks, 6th Working International Conference (HET-NETs 2010), T. Czachórski (ed.) (2010). 35–47.
  • Simulation Environment fo...
    Simulation Environment for Delivering Quality of Service in Systems Based on Service-Oriented Architecture Paradigm. A. Grzech; P. Rygielski; P. ’S}}wika}tek; in Performance modeling and evaluation of heterogeneous networks, 6th Working International Conference (HET-NETs 2010), T. Czachórski (ed.) (2010). 89–97.
  • Stochastic Performance An...
    Stochastic Performance Analysis and Capacity Planning of Publish/Subscribe Systems. A. Schröter; G. Mühl; S. Kounev; H. Parzyjegla; J. Richling; in 4th ACM International Conference on Distributed Event-Based Systems (DEBS 2010), July 12-15, Cambridge, United Kingdom (2010).
    Acceptance Rate: 25%
  • QoS-aware Complex Service...
    QoS-aware Complex Service Composition in SOA-based Systems. A. Grzech; P. Rygielski; P. ’S}}wika}tek; in SOA Infrastructure Tools: Concepts and Methods, S. Ambroszkiewicz, J. Brzeziński, W. Cellary, A. Grzech, K. Zieli"n}}ski (eds.) (2010). 289–312.
  • QPME 2.0 - A Tool for Stochastic Modeling and Analysis Using Queueing Petri Nets. S. Kounev; S. Spinner; P. Meier; in From Active Data Management to Event-Based Systems and More, K. Sachs, I. Petrov, P. Guerrero (eds.) (2010). (Vol. 6462) 293–311.
  • Using Quality of Service ...
    Using Quality of Service Bounds for Effective Multi-objective Software Architecture Optimization. Q. Noorshams; A. Martens; R. Reussner; in Proceedings of the 2nd International Workshop on the Quality of Service-Oriented Software Systems (QUASOSS ’10), Oslo, Norway, October 4, 2010 (2010). 1:1–1:6.
  • Graph-fold: an Efficient ...
    Graph-fold: an Efficient Method for Complex Service Execution Plan Optimization. P. Rygielski; P. ’S}}wika}tek; in Systems Science (2010). 36(3) 25–32.
  • Adaptive Packet Schedulin...
    Adaptive Packet Scheduling for Requests Delay Guaranties in Packet-Switched Communication Network. A. Grzech; P. ’S}}wika}tek; P. Rygielski; in Systems Science (2010). 36(1) 7–12.
  • Performance Modeling and ...
    Performance Modeling and Benchmarking of Event-Based Systems. K. Sachs; Thesis; TU Darmstadt; Karolinenplatz 5, 64289 Darmstadt, Germany. (2010).
  • Performance Modeling in I...
    Performance Modeling in Industry: A Case Study on Storage Virtualization. N. Huber; S. Becker; C. Rathfelder; J. Schweflinghaus; R. Reussner; in ACM/IEEE 32nd International Conference on Software Engineering (ICSE 2010), Software Engineering in Practice Track (2010). 1–10.
    Acceptance Rate (Full Paper): 23% (16/71)
  • METHOD AND SYSTEM FOR MANAGING LEARNING MATERIALS PRESENTED OFFLINE. R. Krebs; C. Hochwarth; (2010, April).
  • Challenges and Opportunities of Cloud Computing -- Trade-off Decisions in Cloud Computing Architecture. (2010-19), M. Hauck; M. Huber; M. Klems; S. Kounev; J. Müller-Quade; A. Pretschner; R. Reussner; S. Tai; (2010).
  • Engineering of Next Gener...
    Engineering of Next Generation Self-Aware Software Systems: A Research Roadmap. S. Kounev; in Emerging Research Directions in Computer Science. Contributions from the Young Informatics Faculty in Karlsruhe (2010).
  • Wireless Network Management Through Network-Enforced Handover. P. Rygielski; P. ’S}}wika}tek; in Applications of Systems Science, A. Grzech, P. ’S}}wika}tek, K. Brzostowski (eds.) (2010). 227–236.
  • Performance Management in the Cloud. S. Kounev; (2010, July).
  • Translations of Service L...
    Translations of Service Level Agreement in Systems Based on Service Oriented Architectures. A. Grzech; P. ’S}}wika}tek; P. Rygielski; in Cybernetics and Systems: An International Journal (CBS) (2010). 41(8) 610–627.
    5-Year Impact Factor (2014): 0.968
  • A Framework for Multi-lev...
    A Framework for Multi-level SLA Management. M. Comuzzi; C. Kotsokalis; C. Rathfelder; W. Theilmann; U. Winkler; G. Zacco; in Service-Oriented Computing. ICSOC/ServiceWave 2009 Workshops, A. Dan, F. Gittler, F. Toumani (eds.) (2010). (Vol. 6275) 187–196.
  • Dynamic Resources Allocat...
    Dynamic Resources Allocation for Delivery of Personalized Services. A. Grzech; P. ’S}}wika}tek; P. Rygielski; in Software Services for e-World, W. Cellary, E. Estevez (eds.) (2010). (Vol. 341) 17–28.
  • Interval Comparisons and ...
    Interval Comparisons and Lattice Operations based on the Interval Overlapping Relation. (476), M. Nehmeier; J. Wolff von Gudenberg; (2010).
  • Predictive Modelling of P...
    Predictive Modelling of Peer-to-Peer Event-driven Communication in Component-based Systems. C. Rathfelder; D. Evans; S. Kounev; in Proceedings of the 7th European Performance Engineering Workshop (EPEW 2010), A. Aldini, M. Bernardo, L. Bononi, V. Cortellessa (eds.) (2010). (Vol. 6342) 219–235.
  • Analysis of the Performan...
    Analysis of the Performance-Influencing Factors of Virtualization Platforms. N. Huber; M. von Quast; F. Brosig; S. Kounev; in The 12th International Symposium on Distributed Objects, Middleware, and Applications (DOA 2010) (2010).
    Acceptance Rate (Full Paper): 33%
  • Optimal Complex Services ...
    Optimal Complex Services Composition in SOA Systems. P. Rygielski; P. ’S}}wika}tek; in Applications of Systems Science, A. Grzech, P. ’S}}wika}tek, K. Brzostowski (eds.) (2010). 217–226.
    Most Promising Student Paper Award
  • Parametric Performance Co...
    Parametric Performance Completions for Model-Driven Performance Prediction. J. Happe; S. Becker; C. Rathfelder; H. Friedrich; R. H. Reussner; in Performance Evaluation (PE) (2010). 67(8) 694–716.
  • Towards Self-Aware Depend...
    Towards Self-Aware Dependability Management in Virtualized Service Infrastructures. S. Kounev; (2010, July).
  • Towards Middleware-Aware ...
    Towards Middleware-Aware Integration of Event-based Communication into the Palladio Component Model. C. Rathfelder; B. Klatt; S. Kounev; D. Evans; in Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems (DEBS 2010) (2010). 97–98.
  • Towards self-aware perfor...
    Towards self-aware performance and resource management in modern service-oriented systems. S. Kounev; F. Brosig; N. Huber; R. Reussner; in Proceedings of the 7th IEEE International Conference on Services Computing (SCC 2010), July 5-10, Miami, Florida, USA (2010).
  • Engineering of Next Generation Self-Aware Software Systems: A Research Roadmap. S. Kounev; (2010, July).
  • Emerging Research Directions in Computer Science. Contributions from the Young Informatics Faculty in Karlsruhe S. Kounev; (V. Pankratius; S. Kounev, eds.) (2010). KIT Scientific Publishing, Karlsruhe, Germany.
    ISBN: 978-3-86644-508-6
  • Translations of Service L...
    Translations of Service Level Agreement in Systems Based on Service Oriented Architecture. A. Grzech; P. Rygielski; in Proceedings of the 14th International Conference on Knowledge-based and Intelligent Information and Engineering Systems (KES 2010), R. Setchi, I. Jordanov (eds.) (2010). (Vol. 6277) 523–532.
2009[ to top ]
  • Best of Eclipse DemoCamps - Ein Erfahrungsbericht vom dritten Karlsruher Eclipse DemoCamp. H. Groenda; C. Rathfelder; R. Mueller; in Eclipse Magazine (2009). 3 8–10.
  • SOA2 - A Vision of Next Generation Service-Oriented Architectures. S. Kounev; (2009, April).
  • Autonomic QoS control in ...
    Autonomic QoS control in enterprise Grid environments using online simulation. R. Nou; S. Kounev; F. Julia; J. Torres; in Journal of Systems and Software (2009). 82(3) 486–502.
  • QPME - A Performance Mode...
    QPME - A Performance Modeling Tool Based on Queueing Petri Nets. S. Kounev; C. Dutz; in ACM SIGMETRICS Performance Evaluation Review (PER), Special Issue on Tools for Computer Performance Modeling and Reliability Analysis (2009). 36 46–51.
  • Stochastic Analysis of Hi...
    Stochastic Analysis of Hierarchical Publish/Subscribe Systems. G. Mühl; A. Schröter; H. Parzyjegla; S. Kounev; J. Richling; in Proceedings of the 15th International European Conference on Parallel and Distributed Computing (Euro-Par 2009), Delft, The Netherlands, August 25-28, 2009. (2009).
    Acceptance Rate (Full Paper): 33%
  • Keynote: SOA2 - Eine Vision für die nächste Generation dienstorienterter Software-Architekturen. S. Kounev; (2009, February).
  • Software Performance Eval...
    Software Performance Evaluation. S. Kounev; in Wiley Encyclopedia of Computer Science and Engineering, edited by Benjamin W. Wah (2009).
  • Effiziente Intervallarithmetik mit C++. M. Nehmeier; Thesis; Lehrstuhl für Informatik 2, Universität Würzburg. (2009).
  • A Performance Test Harnes...
    A Performance Test Harness For Publish/Subscribe Middleware. K. Sachs; S. Kounev; S. Appel; A. Buchmann; in SIGMETRICS/Performance 2009 International Conference, Seattle, WA, USA, June 15--19, 2009 (2009).
  • Performance-Engineering-Research an der Universität Karlsruhe. S. Kounev; (2009, May).
  • Using WebLogic Diagnostics Framework to Enable Performance Prediction for Java EE Applications. F. Brosig; S. Kounev; C. Paclat; (2009, September).
  • Benchmarking of Message-O...
    Benchmarking of Message-Oriented Middleware. K. Sachs; S. Kounev; S. Appel; A. Buchmann; in Proceedings of the 3rd ACM International Conference on Distributed Event-Based Systems (DEBS-2009), Nashville, TN, USA, July 6-9, 2009 (2009).
  • Improving QoS Guaranties ...
    Improving QoS Guaranties via Adaptive Packet Scheduling. A. Grzech; P. ’S}}wika}tek; P. Rygielski; in Proceedings of the 16th Polish Teletraffic Symposium (PTS 2009) (2009). 53–56.
    Young Author Best Paper Award
  • Automated Model-based Capacity Planning for Java EE applications. S. Kounev; (2009, December).
  • Benchmarking and Performance Modeling of Event-Based Systems. S. Kounev; K. Sachs; in it - Information Technology (2009). 51(5) 262–269.
  • Model-Based Performance P...
    Model-Based Performance Prediction for Event-Driven Systems. C. Rathfelder; S. Kounev; in Proceedings of the Third ACM International Conference on Distributed Event-Based Systems (DEBS 2009) (2009). 33:1–33:2.
  • Automated Extraction of P...
    Automated Extraction of Palladio Component Models from Running Enterprise Java Applications. F. Brosig; S. Kounev; K. Krogmann; in Proceedings of the 1st International Workshop on Run-time mOdels for Self-managing Systems and Applications (ROSSA 2009). In conjunction with Fourth International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS 2009), Pisa, Italy, October 19, 2009. (2009).
  • The Architecture Document...
    The Architecture Documentation Maturity Model ADM2. C. Rathfelder; H. Groenda; in Proceedings of the 3rd Workshop MDD, SOA und IT-Management (MSI 2009) (2009). 65–80.
  • Using WebLogic Diagnostics Framework to Enable Performance Prediction for Java EE Applications. S. Kounev; (2009, September).
  • Twostage Packet Schedulin...
    Twostage Packet Scheduling in the Network Node. A. Grzech; P. ’S}}wika}tek; P. Rygielski; in Proceedings of Twentieth International Conference on Systems Engineering, (ICSE 2009), K. J. Burnham, O. C. L. Haas (eds.) (2009). 181–184.
  • Modeling Event-Driven Ser...
    Modeling Event-Driven Service-Oriented Systems using the Palladio Component Model. C. Rathfelder; S. Kounev; in Proceedings of the 1st International Workshop on the Quality of Service-Oriented Software Systems (QUASOSS 2009) (2009). 33–38.
  • Performance evaluation of...
    Performance evaluation of message-oriented middleware using the SPECjms2007 benchmark. K. Sachs; S. Kounev; J. Bacon; A. Buchmann; in Performance Evaluation (2009). 66(8) 410–434.
2008[ to top ]
  • SPECjms2007: A Novel Benchmark and Performance Analysis Framework for Message-Oriented Middleware. S. Kounev; K. Sachs; (2008, March).
  • QPME (Queueing Petri net Modeling Environment) Homepage. S. Kounev; (2008).
  • Kaffeekunde - SPECjms misst Message-oriented Middleware. S. Kounev; K. Sachs; (2008).
  • Software-Industrialisierung F. Brosch; T. Goldschmidt; H. Groenda; L. Kapova; K. Krogmann; M. Kuperberg; A. Martens; C. Rathfelder; R. Reussner; J. Stammel; (2008). (1432nd-7864th ed., Vol. 8)
  • A Methodology for Perform...
    A Methodology for Performance Modeling of Distributed Event-Based Systems. S. Kounev; K. Sachs; J. Bacon; A. Buchmann; in Proceedings of the 11th IEEE International Symposium on Object Oriented Real-Time Distributed Computing (ISORC 2008), Orlando, Florida, USA, May 5-7, 2008 (2008). 13–22.
    Acceptance Rate (Full Paper): 30%, Best-Paper-Award-Nomination
  • Performance Prediction us...
    Performance Prediction using QPN Models: From Capacity Planning to Online Performance Management. S. Kounev; (2008, January).
  • Autonomic QoS control in enterprise Grid environments using online simulation. S. Kounev; (2008, February).
  • Towards Autonomic QoS Management in Event-based and Service-Oriented Environments. S. Kounev; (2008, March).
  • Software Zertifizierung. (4/2008), J. Blomer; F. Brosig; A. Kreidler; J. K"uttel; A. Kuwertz; G. Liebel; D. Popovic; M. St"ubs; A. M. Turek; C. Vogel; T. Weinstein; T. Wurth; (T. Goldschmidt; H. Groenda; K. Krogmann; M. Kuperberg; A. Martens; C. Rathfelder; R. Reussner; J. Stammel, eds.) (2008).
  • Manageability Design for ...
    Manageability Design for an Autonomic Management of Semi-Dynamic Web Service Compositions. C. Momm; C. Rathfelder; I. P. Hallerbach; S. Abeck; in Proceedings of the Network Operations and Management Symposium (NOMS 2008) (2008). 839–842.
  • Descartes Projekt - Autonomes Performanz-und Ressourcen-Management in dynamischen, dienstorientierten Umgebungen. S. Kounev; (2008, September).
  • Software Industrialization and Architecture Certification. C. Rathfelder; H. Groenda; R. Reussner; in Industrialisierung des Software-Managements: Fachtagung des GI-Fachausschusses Management der Anwendungsentwicklung und -Wartung im Fachbereich Wirtschaftsinformatik (WI-MAW), G. Herzwurm, M. Mikusz (eds.) (2008). (Vol. 139) 169–180.
  • Towards an Architecture M...
    Towards an Architecture Maintainability Maturity Model ({AM}3). C. Rathfelder; H. Groenda; in Softwaretechnik-Trends (2008). 28(4) 3–7.
  • Performance Evaluation: Metrics, Models and Benchmarks, Proceedings of the 2008 SPEC International Performance Evaluation Workshop (SIPEW 2008), Darmstadt, Germany, June 27-28 S. Kounev; in Lecture Notes in Computer Science (LNCS), (S. Kounev; I. Gorton; K. Sachs, eds.) (2008). (Vol. 5119) Springer, Heidelberg, Germany.
  • Model-based Management of...
    Model-based Management of Web Service Compositions in Service-Oriented Architectures. C. Momm; C. Rathfelder; in MDD, SOA und IT-Management (MSI 2008), U. Steffens, J. S. Addicks, N. Streekmann (eds.) (2008). 25–40.
  • QoS-aware resource alloca...
    QoS-aware resource allocation and load-balancing in enterprise Grids using online simulation. S. Kounev; (2008, August).
  • Performance Evaluation: Metrics, Models and Benchmarks, Proceedings of the 2008 SPEC International Performance Evaluation Workshop (SIPEW 2008), Darmstadt, Germany, June 27-28 K. Sachs; in Lecture Notes in Computer Science (LNCS), (S. Kounev; I. Gorton; K. Sachs, eds.) (2008). (Vol. 5119) Springer, Heidelberg, Germany.
  • iSOAMM: An independent SO...
    iSOAMM: An independent SOA Maturity Model. C. Rathfelder; H. Groenda; in Proceedings of the 8th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS 2008) (2008). (Vol. 5053/2008) 1–15.
2007[ to top ]
  • Autonomic QoS-Aware Resou...
    Autonomic QoS-Aware Resource Management in Grid Computing using Online Performance Models. S. Kounev; R. Nou; J. Torres; in Proceedings of the Second International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS 2007), Nantes, France, October 23-25, 2007 (2007). 1–10.
  • QPME 1.0 User's Guide
    QPME 1.0 User’s Guide S. Kounev; C. Dutz; (2007). Technische Universität Darmstadt, Darmstadt, Germany.
  • Designing a Workload Scen...
    Designing a Workload Scenario for Benchmarking Message-Oriented Middleware. K. Sachs; S. Kounev; M. Carter; A. Buchmann; in Proceedings of the 2007 SPEC Benchmark Workshop, Austin, Texas, January 21, 2007 (2007).
  • Petri Net, Theory and App...
    Petri Net, Theory and Application. S. Kounev; A. Buchmann; V. Kordic (ed.) (2007).
  • An Approach to Performance Modeling and Analysis of Distributed Event-Based Systems. S. Kounev; (2007, March).
  • Management in serviceorientierten Architekturen: Eine Managementinfrastruktur für die Überwachung komponierter Webservices C. Rathfelder; (2007). VDM Verlag Dr. Müller, Saarbrücken, Germany.
  • Using QPN models for QoS Control in Grid Middleware. (UPC-DAC-RR-CAP-2007-4), S. Kounev; R. Nou; J. Torres; (2007).
  • Performance Modeling and ...
    Performance Modeling and Evaluation of Distributed Component Systems using Queueing Petri Nets. S. Kounev; (2007, May).
  • SPEC Enterprise Java Benc...
    SPEC Enterprise Java Benchmarks: State of the Art and Future Directions. S. Kounev; (2007, June).
  • Towards a Common API for ...
    Towards a Common API for Publish/Subscribe. P. Pietzuch; D. Eyers; S. Kounev; B. Shand; in Proceedings of the 2007 Inaugural International Conference on Distributed Event-Based Systems (DEBS 2007), Toronto, Canada, June 20-22, 2007, H.-A. Jacobsen, G. Mühl, M. A. Jaeger (eds.) (2007). (Vol. 233) 152–157.
  • A Manageability Infrastru...
    A Manageability Infrastructure for the Monitoring of Web Service. C. Momm; C. Mayerl; C. Rathfelder; S. Abeck; in Proceedings of the 14th Annual Workshop of HP Software University Association, H. G. Hegering, H. Reiser, M. Schiffers, T. Nebe (eds.) (2007). 103–114.
  • Workload Characterization...
    Workload Characterization of the SPECjms2007 Benchmark. K. Sachs; S. Kounev; J. Bacon; A. Buchmann; in Formal Methods and Stochastic Models for Performance Evaluation, Proceedings of the 4th European Performance Engineering Workshop (EPEW 2007), Berlin, Germany, September 27--28, 2007, K. Wolter (ed.) (2007). (Vol. 4748) 228–244.
  • Building Online Performan...
    Building Online Performance Models of Grid Middleware with Fine-Grained Load-Balancing: A Globus Toolkit Case Study. R. Nou; S. Kounev; J. Torres; in Formal Methods and Stochastic Models for Performance Evaluation, Proceedings of the 4th European Performance Engineering Workshop (EPEW 2007), Berlin, Germany, September 27-28, 2007, K. Wolter (ed.) (2007). 125–140.
  • SPECjms2007 - A Novel Benchmark and Performance Analysis Framework for Message-Oriented Middleware. S. Kounev; (2007, October).
  • Geschäftsprozessorientierte Kategorisierung von SOA. C. Rathfelder; H. Groenda; in 2. Workshop Bewertungsaspekte serviceorientierter Architekturen (2007). 11–22.
  • Preliminary Analysis of Globus Toolkit 4 to Create Prediction Models. (UPC-DAC-RR-2007-37), R. Nou; S. Kounev; (2007).
2006[ to top ]
  • Message Types and Interfaces Between Components in SPECjms. (DVS06-3), K. Sachs; S. Kounev; (2006).
  • Towards a Manageability I...
    Towards a Manageability Infrastructure for a Management of Process-Based Service Compositions C. Momm; C. Rathfelder; S. Abeck; (2006).
  • Workload Scenario for SPECjms - Supermarket Supply Chain. (DVS06-2), K. Sachs; S. Kounev; (2006).
  • J2EE Performance and Scal...
    J2EE Performance and Scalability - From Measuring to Predicting. S. Kounev; in Proceedings of the 2006 SPEC Benchmark Workshop, Austin, Texas, USA (2006).
  • Case Studies of Queueing Networks --- J2EE Applications. S. Kounev; in Queueing Networks and Markov Chains, edited by Gunter Bolch, Stefan Greiner, Hermann de Meer and Kishor Shridharbhai Trivedi (2006). (2ndnd ed.) 733–745.
  • Performance Modeling and Evaluation of Event-based Systems. S. Kounev; (2006, March).
  • A Practical Approach for Predicting the Performance and Scalability of Distributed Component Systems. S. Kounev; (2006, April).
  • SimQPN - a tool and metho...
    SimQPN - a tool and methodology for analyzing queueing Petri net models by means of simulation. S. Kounev; A. Buchmann; in Performance Evaluation (2006). 63(4-5) 364–394.
  • Performance Modeling and ...
    Performance Modeling and Evaluation of Distributed Component-Based Systems using Queueing Petri Nets. S. Kounev; in IEEE Transactions on Software Engineering (2006). 32(7) 486–502.
  • QPME - Queueing Petri Net...
    QPME - Queueing Petri Net Modeling Environment. S. Kounev; C. Dutz; A. Buchmann; in Proceedings of the 3rd International Conference on Quantitative Evaluation of SysTems (QEST 2006), Riverside, California, USA, September 11-14, 2006 (2006). 115–116.
2005[ to top ]
  • Performance Engineering o...
    Performance Engineering of Distributed Component-Based Systems - Benchmarking, Modeling and Performance Prediction. S. Kounev; Thesis; Technische Universität Darmstadt, Germany. (2005, December).
    Distinguished Dissertation Award
  • Performance Engineering o...
    Performance Engineering of Distributed Component-Based Systems - Benchmarking, Modeling and Performance Prediction S. Kounev; (2005). Shaker Verlag, Ph.D. Thesis, Technische Universität Darmstadt, Germany.
    Distinguished Dissertation Award
  • SPECjAppServer2004 - The New Way to Evaluate J2EE Performance. S. Kounev; (2005, September).
  • Performance Engineering of Distributed Component Systems - From Benchmarking to Modeling and Performance Prediction. S. Kounev; (2005, April).
  • E-Business Performance and Scalability - From Measuring to Predicting. S. Kounev; (2005, January).
2004[ to top ]
  • Performance Tuning and Op...
    Performance Tuning and Optimization of J2EE Applications on the JBoss Platform. S. Kounev; B. Weis; A. Buchmann; in Journal of Computer Resource Management (2004). 113
2003[ to top ]
  • Performance Modeling of D...
    Performance Modeling of Distributed E-Business Applications using Queueing Petri Nets. S. Kounev; A. Buchmann; in Proceedings of the 2003 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2003), Austin, Texas, USA, March 6-8, 2003 (2003). 143–155.
    Best-Paper-Award
  • Performance Modeling of D...
    Performance Modeling of Distributed E-Business Applications using Queueing Petri Nets. S. Kounev; (2003, June).
  • Messaging Architecture and Asynchronous Interactions in SPECjAppServer. (TUD03-1), S. Kounev; (2003).
  • Performance Modeling and ...
    Performance Modeling and Evaluation of Large-Scale J2EE Applications. S. Kounev; A. Buchmann; in Proceedings of the 29th International Conference of the Computer Measurement Group on Resource Management and Performance Evaluation of Enterprise Computing Systems (CMG 2003), Dallas, Texas, USA, December 7-12, 2003 (2003). 273–283.
    Best-Paper-Award
  • PetStore-WS: Measuring th...
    PetStore-WS: Measuring the Performance Implications of Web Services. K. S. Juse; S. Kounev; A. Buchmann; in Proceedings of the 29th International Conference of the Computer Measurement Group on Resource Management and Performance Evaluation of Enterprise Computing Systems (CMG 2003), Dallas, Texas, USA, December 7-12, 2003 (2003). 113–123.
2002[ to top ]
  • J2EE PERFORMANCE: From Be...
    J2EE PERFORMANCE: From Benchmarking to Sizing and Capacity Planning. S. Kounev; (2002, May).
  • Performance Issues in E-B...
    Performance Issues in E-Business Systems. S. Kounev; A. Buchmann; in Proceedings of the International Conference on Advances in Infrastructure for e-Business, e-Education, e-Science, and e-Medicine on the Internet (SSGRR 2002w), L’Aquila, Italy, January 21-27, 2002 (2002).
  • Improving Data Access of J2EE Applications by Exploiting Asynchronous Messaging and Caching Services. S. Kounev; A. Buchmann; in Proceedings of the 28th International Conference on Very Large Data Bases (VLDB 2002), Hong Kong, China, August 20--23, 2002 (2002). 574–585.
    Acceptance Rate (Full Paper): 14% Best-Paper-Award Nomination
2001[ to top ]
  • Implementing and Optimizi...
    Implementing and Optimizing Sun’s ECperf Benchmark with BEA WebLogic Server. S. Kounev; (2001, November).
  • Eliminating ECperf Persis...
    Eliminating ECperf Persistence Bottlenecks when using RDBMS with Pessimistic Concurrency Control S. Kounev; (2001).
  • A Capacity Planning Metho...
    A Capacity Planning Methodology for Distributed E-Commerce Applications S. Kounev; (2001).
  • Performance Prediction, S...
    Performance Prediction, Sizing and Capacity Planning for Distributed E-Commerce Applications S. Kounev; (2001).
1999[ to top ]
  • Electronic Store: MALL200...
    Electronic Store: MALL2000 - Mall for Online Business beyond the Year 2000. S. Kounev; (1999, November).
  • The Analysis Phase in the Development of E-Commerce Software Systems. S. Kounev; K. Nikolov; in Proceedings of the Tools Eastern Europe ’99 Conference on Technology of Object Oriented Languages and Systems, Sofia-Blagoevgrad, Bulgaria, June 1-4, 1999 (1999).
  • Distributed Video-Conferencing System Organized for Work on the Internet with the Use of Multimedia Server. P. Nenov; S. Kounev; D. Mihailov; in Journal of Computing and Information (1999).