Publications
Categories
Books and Edited Volumes
2020[ to top ]
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Systems Benchmarking (2020). (1st ed.) Springer International Publishing.
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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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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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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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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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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Recommendation of Secure Group Communication Schemes using Multi Objective Optimization in International Journal of Information Security (2023).
2022[ to top ]
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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.
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Self-Aware Optimization of Adaptation Planning Strategies in ACM Transactions on Autonomous and Adaptive Systems (2022).
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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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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
2021[ to top ]
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A Comparison of Mechanisms for Compensating Negative Impacts of System Integration in Future Generation Computer Systems (2021). 116 117–131.
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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 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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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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Tackling the Rich Vehicle Routing Problem with Nature-Inspired Algorithms in Applied Intelligence (2021). 52 9476–9500.
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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.
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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Measuring and Rating the Energy-Efficiency of Servers in Future Generation Computer Systems (2019). 100 579–589.
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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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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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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.
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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.
2022[ to top ]
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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.
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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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Towards a Cryptography Benchmark: A View on Attribute Based Encryption Schemes in 2022 5th Conference on Cloud and Internet of Things (CIoT) (2022). IEEE.
2021[ to top ]
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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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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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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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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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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)
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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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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).
2020[ to top ]
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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%
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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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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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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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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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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)
2019[ to top ]
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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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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
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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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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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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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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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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.
2018[ to top ]
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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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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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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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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).
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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).
2016[ to top ]
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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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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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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).
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Proactive Memory Scaling of Virtualized Applications in Proceedings of the 2015 IEEE 8th International Conference on Cloud Computing (IEEE CLOUD 2015) (2015). 277–284. IEEE.Acceptance Rate: 15%
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Flexible Performance Prediction of Data Center Networks using Automatically Generated Simulation Models in Proceedings of the Eighth International Conference on Simulation Tools and Techniques (SIMUTools 2015) (2015). 119–128.
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Modeling and Extracting Load Intensity Profiles in Proceedings of the 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2015) (2015).Acceptance rate: 29%