Publications
Categories
Books and Edited Volumes
2023[ to top ]
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Performance Impact Analysis of Homomorphic Encryption: A Case Study Using Linear Regression as an Example. in Information Security Practice and Experience, W. Meng, Z. Yan, V. Piuri (eds.) (2023). 284–298. Springer Nature Singapore, Singapore.
2017[ to top ]
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Self-Aware Computing Systems (2017). Springer Verlag, Berlin Heidelberg, Germany.
2015[ to top ]
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Proceeding of IEEE International Conference on Autonomic Computing (ICAC2015), Grenoble, France, July 8--10, 2015 (P. Lalanda; A. Diaconescu; L. Cherkasova; S. Kounev, eds.) (2015). IEEE Computer Society Conference Publishing Services (CPS), Los Alamitos, California.
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Model-driven Algorithms and Architectures for Self-Aware Computing Systems in Dagstuhl Reports, (S. Kounev; X. Zhu; J. O. Kephart; M. Kwiatkowska; A. M. [Assistant Editor], eds.) (2015). Dagstuhl, Germany.
2013[ to top ]
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Proceedings of the 2013 International Workshop on Hot Topics in Cloud Services (HotTopiCS 2013) (S. Kounev; S. Zschaler; K. Sachs, eds.) (2013). ACM.
2011[ to top ]
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ICPE’11 - 2nd Joint ACM/SPEC International Conference on Performance Engineering, Karlsruhe, Germany, March 14--16, 2011 (S. Kounev; V. Cortellessa; R. Mirandola; D. J. Lilja, eds.) (2011). ACM, New York, NY, USA.
2008[ to top ]
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Performance Evaluation: Metrics, Models and Benchmarks, Proceedings of the 2008 SPEC International Performance Evaluation Workshop (SIPEW 2008), Darmstadt, Germany, June 27-28 in Lecture Notes in Computer Science (LNCS), (S. Kounev; I. Gorton; K. Sachs, eds.) (2008). (Vol. 5119) Springer, Heidelberg, Germany.
2005[ to top ]
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Performance Engineering of Distributed Component-Based Systems - Benchmarking, Modeling and Performance Prediction (2005). Shaker Verlag, Ph.D. Thesis, Technische Universität Darmstadt, Germany.Distinguished Dissertation Award
Journals and Magazines
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2023[ to top ]
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Towards a Cryptography Encyclopedia: A Survey on Attribute-Based Encryption. in Journal of Surveillance, Security and Safety (2023).
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Self-Aware Optimization of Adaptation Planning Strategies. in ACM Transactions on Autonomous and Adaptive Systems (2023). 18(3)
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Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field. (2023).
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Serverless Computing: What It Is, and What It Is Not?. in Commun. ACM (2023). 66(9) 80–92. Association for Computing Machinery, New York, NY, USA.
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Deep Neural Network Regression for Normalized Digital Surface Model Generation with Sentinel-2 Imagery. in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023). 1–14.
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Recommendation of Secure Group Communication Schemes using Multi Objective Optimization. in International Journal of Information Security (2023).
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MVNOCoreSim: A Digital Twin for Virtualized IoT-centric Mobile Core Networks. in IEEE Internet of Things (2023). 10(15) 13974–13987.
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A literature review of IoT and CPS—What they are, and what they are not. in Journal of Systems and Software (2023). 111631. Elsevier.
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Optimizing storage assignment, order picking, and their interaction in mezzanine warehouses. in Applied intelligence (2023). 25.
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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. in International Journal of Information Security (2023).
2022[ to top ]
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A literature review on optimization techniques for adaptation planning in adaptive systems: State of the art and research directions. in Information and Software Technology (2022). 149 106940.
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A case study on the stability of performance tests for serverless applications. in Journal of Systems and Software (JSS) (2022). 189
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A Survey on Secure Group Communication Schemes with Focus on IoT Communication. in IEEE Access (2022). IEEE.Accepted but not yet published
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CortexVR: Immersive analysis and training of cognitive executive functions of soccer players using virtual reality and machine learning. in Frontiers in Psychology (2022). 5139. Frontiers.
2021[ to top ]
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A Case Study on Optimization of Warehouses. in arXiv preprint arXiv:2112.12058 (2021).
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People Detection with Depth Silhouettes and Convolutional Neural Networks on a Mobile Robot. in Journal of Image and Graphics, (J. of Image; Graphics, eds.) (2021). 9(4) 135–139.
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Tackling the Rich Vehicle Routing Problem with Nature-Inspired Algorithms. in Applied Intelligence (2021). 52 9476–9500.
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An Overview on Approaches for Coordination of Platoons. in IEEE Transactions on Intelligent Transportation Systems (2021).Early Access on IEEE Xplore
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A Machine Learning-based Workflow for Automatic Detection of Anomalies in Machine Tools. in ISA Transactions: The Journal of Automation (2021).(in press)
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SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation. in ACM Transactions on Autonomous and Adaptive Systems (2021). 15(2) Association for Computing Machinery, New York, NY, USA.
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A Comparison of Mechanisms for Compensating Negative Impacts of System Integration. in Future Generation Computer Systems (2021). 116 117–131.
2020[ to top ]
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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. in International Journal of Mechanical Engineering and Robotics Research (IJMERR), (P. R. (Chunhui) Yang, ed.) (2020). 9(12) 1532–1540.
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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. in Frontiers in Sports and Active Living (2020). 2 127. Frontiers.
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Time Series Forecasting for Self-Aware Systems. in Proceedings of the IEEE (2020). 108(7) 1068–1093.
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A Taxonomy of Techniques for SLO Failure Prediction in Software Systems. in Computers (2020). 9(1) 10. Multidisciplinary Digital Publishing Institute (MDPI).
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Towards Self-Aware Multirotor Formations. in Computers (2020). 9(7) MDPI.Special Issue on Self-Aware Computing
2019[ to top ]
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Online model learning for self-aware computing infrastructures. in Journal of Systems and Software (2019). 147 1–16.
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Modeling of Aggregated IoT Traffic and Its Application to an IoT Cloud. in Proceedings of the IEEE (2019). 107(4) 679–694.
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Measuring and Rating the Energy-Efficiency of Servers. in Future Generation Computer Systems (2019). 100 579–589.
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Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field. in IEEE Transactions on Parallel and Distributed Systems (2019). 30(4) 800–813. IEEE.
2018[ to top ]
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Quantifying Cloud Performance and Dependability: Taxonomy, Metric Design, and Emerging Challenges. in ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS) (2018). 3(4) 19:1–19:36. ACM, New York, NY, USA.
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CUP: A Formalism for Expressing Cloud Usage Patterns for Experts and Non-Experts. in IEEE Cloud Computing (2018). 5(3) 65–76. IEEE.
2017[ to top ]
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Modeling and Extracting Load Intensity Profiles. in ACM Transactions on Autonomous and Adaptive Systems (TAAS) (2017). 11(4) 23:1–23:28. ACM, New York, NY, USA.
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Model-Based Self-Aware Performance and Resource Management Using the Descartes Modeling Language. in IEEE Transactions on Software Engineering (TSE) (2017). 43(5) 432–452. IEEE Computer Society.
2016[ to top ]
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Enabling Fluid Analysis for Queueing Petri Nets via Model Transformation. in Electronic Notes in Theoretical Computer Science (2016). 327 71–91. Elsevier.The 8th International Workshop on Practical Application of Stochastic Modeling, PASM 2016
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A Model-Based Approach to Designing Self-Aware IT Systems and Infrastructures. in IEEE Computer (2016). 49(7) 53–61. IEEE.
2015[ to top ]
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Parallel Simulation of Queueing Petri Nets. in EAI Endorsed Transactions on Industrial Networks and Intelligent Systems (2015). 16(8) ACM.
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Evaluating Approaches to Resource Demand Estimation. in Performance Evaluation (2015). 92 51–71. Elsevier B.V.
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Evaluating Computer Intrusion Detection Systems: A Survey of Common Practices. in ACM Computing Surveys (2015). 48(1) 12:1–12:41. ACM, New York, NY, USA.5-year Impact Factor (2014): 5.949
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Quantitative Evaluation of Model-Driven Performance Analysis and Simulation of Component-based Architectures. in IEEE Transactions on Software Engineering (TSE) (2015). 41(2) 157–175. IEEE.
2014[ to top ]
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Self-Adaptive Workload Classification and Forecasting for Proactive Resource Provisioning. in Concurrency and Computation - Practice and Experience, John Wiley and Sons, Ltd. (2014). 26(12) 2053–2078.
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Metrics and Techniques for Quantifying Performance Isolation in Cloud Environments. in Elsevier Science of Computer Programming Journal (SciCo) (2014). Vol. 90, Part B 116–134. Elsevier B.V.
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Architecture-Level Software Performance Abstractions for Online Performance Prediction. in Elsevier Science of Computer Programming Journal (SciCo) (2014). Vol. 90, Part B 71–92. Elsevier.
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Modeling Run-Time Adaptation at the System Architecture Level in Dynamic Service-Oriented Environments. in Service Oriented Computing and Applications Journal (SOCA) (2014). 8(1) 73–89. Springer-Verlag.
2013[ to top ]
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Performance modeling and analysis of message-oriented event-driven systems. in Journal of Software and Systems Modeling (2013). 12(4) 705–729. Springer-Verlag.
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Network Virtualization for QoS-Aware Resource Management in Cloud Data Centers: A Survey. in PIK --- Praxis der Informationsverarbeitung und Kommunikation (2013). 36(1) 55–64. de Gruyter.
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Modeling Event-based Communication in Component-based Software Architectures for Performance Predictions. in Journal of Software and Systems Modeling (SoSyM) (2013). 1–27. Springer Verlag.
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Modeling of Event-based Communication in Component-based Architectures: State-of-the-Art and Future Directions. in Electronic Notes in Theoretical Computer Science (ENTCS) (2013). 295 3–9. Elsevier Science Publishers B. V., Amsterdam, The Netherlands.
2011[ to top ]
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Self-Aware Software and Systems Engineering: A Vision and Research Roadmap. in GI Softwaretechnik-Trends, 31(4), November 2011, ISSN 0720-8928 (2011). Karlsruhe, Germany.
2009[ to top ]
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Benchmarking and Performance Modeling of Event-Based Systems. in it - Information Technology (2009). 51(5) 262–269. Oldenbourg Wissenschaftsverlag, Munich, Germany.
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Performance evaluation of message-oriented middleware using the SPECjms2007 benchmark. in Performance Evaluation (2009). 66(8) 410–434. Elsevier Science Publishers B. V., Amsterdam, The Netherlands.
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Autonomic QoS control in enterprise Grid environments using online simulation. in Journal of Systems and Software (2009). 82(3) 486–502. Elsevier Science Publishers B. V., Amsterdam, The Netherlands.
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QPME - A Performance Modeling Tool Based on Queueing Petri Nets. in ACM SIGMETRICS Performance Evaluation Review (PER), Special Issue on Tools for Computer Performance Modeling and Reliability Analysis (2009). 36 46–51. ACM.
2008[ to top ]
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Kaffeekunde - SPECjms misst Message-oriented Middleware. (2008).
2006[ to top ]
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SimQPN - a tool and methodology for analyzing queueing Petri net models by means of simulation. in Performance Evaluation (2006). 63(4-5) 364–394. Elsevier Science Publishers B. V., Amsterdam, The Netherlands.
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Performance Modeling and Evaluation of Distributed Component-Based Systems using Queueing Petri Nets. in IEEE Transactions on Software Engineering (2006). 32(7) 486–502.
2004[ to top ]
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Performance Tuning and Optimization of J2EE Applications on the JBoss Platform. in Journal of Computer Resource Management (2004). 113 Computer Measurement Group (CMG).
1999[ to top ]
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Distributed Video-Conferencing System Organized for Work on the Internet with the Use of Multimedia Server. in Journal of Computing and Information (1999).
Conference Full Papers
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2023[ to top ]
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Kubernetes-in-the-Loop: Enriching Microservice Simulation Through Authentic Container Orchestration. in Performance Evaluation Methodologies and Tools (2023).In print.
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An Empirical Study of Container Image Configurations and Their Impact on Start Times. in 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (2023). 94–105. IEEE.
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Autoscaler Evaluation and Configuration: A Practitioner’s Guideline. in Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering (2023). 31–41. Association for Computing Machinery, New York, NY, USA.
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A Systematic Approach for Benchmarking of Container Orchestration Frameworks. in Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering (2023). 187–198. Association for Computing Machinery, New York, NY, USA.
2022[ to top ]
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Towards a Cryptography Benchmark: A View on Attribute Based Encryption Schemes. in 2022 5th Conference on Cloud and Internet of Things (CIoT) (2022). IEEE.
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SCRAPS: Scalable Collective Remote Attestation for Pub-Sub IoT Networks with Untrusted Proxy Verifier (2022). (Vol. USENIX Security ’22)Coming Soon
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Why Is It Not Solved Yet? Challenges for Production-Ready Autoscaling. in Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering (2022). 105–115. Association for Computing Machinery, New York, NY, USA.
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Investigating the Predictability of QoS Metrics in Cellular Networks. in 2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS) (2022). 1–10.
2021[ to top ]
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Libra: A Benchmark for Time Series Forecasting Methods. in Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE) (2021). ACM, New York, NY, USA.
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SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications. in Proceedings of the 12th ACM/SPEC International Conference on Performance Engineering (ICPE) (2021). ACM, New York, NY, USA.Acceptance Rate: 29%
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A Predictive Maintenance Methodology: Predicting the Time-to-Failure of Machines in Industry 4.0. in Proceedings of the 21st IEEE IES International Conference on Industrial Informatics (2021). IEEE.
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Recommendations for Data-Driven Degradation Estimation with Case Studies from Manufacturing and Dry-Bulk Shipping. in Research Challenges in Information Science (RCIS) (2021). 189–204. Springer.
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Towards Situation-Aware Meta-Optimization of Adaptation Planning Strategies. in Proceedings of the 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems - ACSOS 2021 (2021). IEEE.Best Paper Award Runner Up, Full Paper Acceptance Ratio: 25%
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Performance Evaluation of a Post-Quantum Public-Key Cryptosystem. in 2021 IEEE 40th International Performance Computing and Communications Conference (IPCCC) (2021). IEEE.
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Benchmarking of Pre- and Post-Quantum Group Encryption Schemes with Focus on IoT. in 2021 IEEE 40th International Performance Computing and Communications Conference (IPCCC) (2021).
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A Simulation-based Optimization Framework for Online Adaptation of Networks. in Proceedings of the 12th EAI International Conference on Simulation Tools and Techniques (SIMUtools), H. Song, D. Jiang (eds.) (2021). 513–532. Springer International Publishing, Cham.
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Sizeless: Predicting the Optimal Size of Serverless Functions. in Proceedings of the 22nd International MIDDLEWARE Conference (2021). 248–259.Best Student Paper Award, ACM Artifacts Evaluated — Functional
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ComBench: A Benchmarking Framework for Publish/Subscribe Communication Protocols Under Network Limitations. in Performance Evaluation Methodologies and Tools, Q. Zhao, L. Xia (eds.) (2021). 72–92. Springer International Publishing, Cham.
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Towards a Mobile Robot Localization Benchmark with Challenging Sensordata in an Industrial Environment. in 2021 20th International Conference on Advanced Robotics (ICAR) (2021). 857–864.
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Machine Learning Model Update Strategies for Hard Disk Drive Failure Prediction. in 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2021).(to appear)
2020[ to top ]
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Predicting the Costs of Serverless Workflows. in Proceedings of the 2020 ACM/SPEC International Conference on Performance Engineering (ICPE) (2020). 265–276. Association for Computing Machinery (ACM), New York, NY, USA.Acceptance Rate: 23.4% (15/64)
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Model-based Performance Predictions for SDN-based Networks: A Case Study. in Proceedings of the 20th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (2020). Springer, Cham.
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To Fail Or Not To Fail: Predicting Hard Disk Drive Failure Time Windows. in Proceedings of the 20th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (2020). 19–36. Springer, Cham.
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An IoT Network Emulator for Analyzing the Influence of Varying Network Quality. in Proceedings of the 12th EAI International Conference on Simulation Tools and Techniques (SIMUtools) (2020).
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Quantifying measurement quality and load distribution in Tor. in Proceedings of the 36th Annual Computer Security Applications Conference (ACSAC 2020) (2020).
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Evaluating the Performance of a State-of-the-Art Group-oriented Encryption Scheme for Dynamic Groups in an IoT Scenario. in 2020 IEEE 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) (2020).Acceptance Rate: 27%
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Baloo: Measuring and Modeling the Performance Configurations of Distributed DBMS. in 2020 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) (2020). 1–8. IEEE.Acceptance Rate: 27%
2019[ to top ]
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Chamulteon: Coordinated Auto-Scaling of Micro-Services. in Proceedings of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS) (2019).
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Predicting Server Power Consumption from Standard Rating Results. in Proceedings of the 19th ACM/SPEC International Conference on Performance Engineering (2019). 301–312. Association for Computing Machinery (ACM), New York, NY, USA.Full Paper Acceptance Rate: 18.6% (13/70)
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Integrating Statistical Response Time Models in Architectural Performance Models. in Proceedings of the 2019 IEEE International Conference on Software Architecture (ICSA) (2019). 71–80. IEEE.Acceptance Rate: 21,9% (21/96)
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Autonomic Forecasting Method Selection: Examination and Ways Ahead. in Proceedings of the 16th IEEE International Conference on Autonomic Computing (ICAC) (2019). IEEE.
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Online Power Consumption Estimation for Functions in Cloud Applications. in Proceedings of the 16th IEEE International Conference on Autonomic Computing (ICAC) (2019). IEEE.
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Detecting Parametric Dependencies for Performance Models Using Feature Selection Techniques. in 2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) (2019). 309–322. IEEE Computer Society.Acceptance Rate: 23.8% (29/122)
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Monitorless: Predicting Performance Degradation in Cloud Applications with Machine Learning. in Proceedings of the 20th International Middleware Conference (2019). 149–162. Association for Computing Machinery (ACM), New York, NY, USA.
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Measuring the Energy Efficiency of Transactional Loads on GPGPU. in Proceedings of the 19th ACM/SPEC International Conference on Performance Engineering (2019). ACM, New York, NY, USA.Best Industry Paper Award
2018[ to top ]
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SmarTor: Smarter Tor with Smart Contracts: Improving resilience of topology distribution in the Tor network. in Proceedings of the 34th Annual Computer Security Applications Conference (2018). ACM, New York, NY, USA.
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Modeling of Parametric Dependencies for Performance Prediction of Component-based Software Systems at Run-time. in 2018 IEEE International Conference on Software Architecture (ICSA) (2018). 135–144.Acceptance Rate: 25,6% (22/86)
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FOX: Cost-Awareness for Autonomic Resource Management in Public Clouds. in Proceedings of the 9th ACM/SPEC International Conference on Performance Engineering (ICPE 2018) (2018). ACM, New York, NY, USA.Full Paper Acceptance Ratio: 23,7%
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On the Value of Service Demand Estimation for Auto-Scaling. in Proceedings of 19th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (MMB 2018) (2018). (Vol. 10740) 142–156. Springer, Cham.
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TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research. in Proceedings of the 26th IEEE International Symposium on the Modelling, Analysis, and Simulation of Computer and Telecommunication Systems (2018). 223–236. IEEE Computer Society.Acceptance Rate: 29.5% (23/78)
2017[ to top ]
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Automated and Adaptable Decision Support for Software Performance Engineering. in Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and Tools (2017).
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Performance Assessment of Cloud Migrations from Network and Application Point of View. in Proceedings of 9th EAI International Conference on Mobile Networks and Management (MONAMI 2018) (2017).
2016[ to top ]
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Automated Extraction of Network Traffic Models Suitable for Performance Simulation. in Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering (ICPE 2016) (2016). 27–35. ACM.Acceptance rate (Full Paper): 19/57 = 33%
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Variations in CPU Power Consumption. in Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering (ICPE 2016) (2016). ACM, New York, NY, USA.
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Modeling and Prediction of Software-Defined Networks Performance using Queueing Petri Nets. in Proceedings of the Ninth International Conference on Simulation Tools and Techniques (SIMUTools 2016) (2016). 66–75.
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Quantifying the Attack Detection Accuracy of Intrusion Detection Systems in Virtualized Environments. in Proceedings of The 27th IEEE International Symposium on Software Reliability Engineering (ISSRE 2016) (2016). IEEE Computer Society, Washington DC, USA.Acceptance rate (Full Paper): 45/130 = 34%
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Performance Analysis of SDN Switches with Hardware and Software Flow Tables. in Proceedings of the 10th EAI International Conference on Performance Evaluation Methodologies and Tools (ValueTools 2016) (2016).
2015[ to top ]
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BUNGEE: An Elasticity Benchmark for Self-Adaptive IaaS Cloud Environments. in Proceedings of the 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2015) (2015).Acceptance rate: 29%
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Evaluation of Intrusion Detection Systems in Virtualized Environments Using Attack Injection. in The 18th International Symposium on Research in Attacks, Intrusions, and Defenses (RAID 2015) (2015). Springer.Acceptance Rate: 23%.
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Model-based Autonomic and Performance-aware System Adaptation in Heterogeneous Resource Environments: A Case Study. in Proceedings of the 2015 IEEE International Conference on Cloud and Autonomic Computing (ICCAC) (2015). IEEE.
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Energy Efficiency of Hierarchical Server Load Distribution Strategies. in Proceedings of the IEEE 23nd International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2015) (2015). IEEE.Full paper acceptance rate: 19%
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Specialized Heuristics for the Controller Placement Problem in Large Scale SDN Networks. in 27th International Teletraffic Congress (ITC 2015}) (2015). 210–218. Ghent, Belgium.
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Parallel Simulation of Queueing Petri Nets. in Proceedings of the Eighth EAI International Conference on Simulation Tools and Techniques (SIMUTools 2015) (2015).