Publications
Publications of Jóakim v. Kistowski
Publications
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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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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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{Systems Benchmarking} (2020). (1st ed.) Springer International Publishing.
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{Methodological Principles for Reproducible Performance Evaluation in Cloud Computing}. 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. Gesellschaft f{{ü}}r Informatik e.V.
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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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Methodological Principles for Reproducible Performance Evaluation in Cloud Computing. in IEEE Transactions on Software Engineering (2019). 47(8) 1528–1543.
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{Methodological Principles for Reproducible Performance Evaluation in Cloud Computing - A SPEC Research Technical Report}. (SPEC-RG-2019-04), (2019). SPEC Research Group --- Cloud Working Group, Standard Performance Evaluation Corporation (SPEC).
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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, Rating, and Predicting the Energy Efficiency of Servers. (2019, March). University of W{ü}rzburg, Germany.
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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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{Measuring and Rating the Energy-Efficiency of Servers}. in Future Generation Computer Systems (2019). 100 579–589.
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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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TeaStore: A Micro-Service Reference Application for Cloud Researchers. in Proceedings of 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion) (2018). 11–12. IEEE.
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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)}
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{Run-time Prediction of Power Consumption for Component Deployments}. in Proceedings of the 15th IEEE International Conference on Autonomic Computing (ICAC 2018) (2018).
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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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{TeaStore - A Micro-Service Application for Benchmarking, Modeling and Resource Management Research}. (2018, April).
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{SPEC CPU2017: Next-Generation Compute Benchmark}. in {Companion of the 2018 ACM/SPEC International Conference on Performance Engineering} (2018). 41–42. ACM, New York, NY, USA.
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{Measuring and Benchmarking Power Consumption and Energy Efficiency}. in Companion of the 2018 ACM/SPEC International Conference on Performance Engineering (2018). 57–65. ACM, New York, NY, USA.
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Energy Benchmarking. in Encyclopedia of Big Data Technologies, S. Sakr, A. Zomaya (eds.) (2018). 1–6. Springer International Publishing, Cham.
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{Emulating the Power Consumption Behavior of Server Workloads using CPU Performance Counters}. 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\%}
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{Towards a Scalability and Energy Efficiency Benchmark for VNF}. in Proceedings of the 9th TPC Technology Conference on Performance Engineering and Benchmarking (2017).
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{SPECpower Research Working Group}. (2017, April).
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{Autopilot: Enabling easy Benchmarking of Workload Energy Efficiency}. in Proceedings of the 8th ACM/SPEC International Conference on Performance Engineering (ICPE 2017) (2017). ACM, New York, NY, USA.Best Demo Award
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{The SERT Metric and the Impact of Server Configuration} (2017). Standard Performance Evaluation Corporation (SPEC), 7001 Heritage Village Plaza, Suite 225, Gainesville, VA 20155, USA.
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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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{Predicting Power Consumption of High-Memory-Bandwidth Workloads}. in Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering (2017). 353–356. ACM, New York, NY, USA.
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Predicting Power Consumption in Virtualized Environments. 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. Springer International Publishing, Cham.
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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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{Use Cases for Chauffeur}. (2016, January).
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{Univariate Interpolation-based Modeling of Power and Performance}. in Proceedings of the 9th EAI International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS 2015) (2015).
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{Common Errors and Assumptions in Energy Measurement and Management}. (2015, November).
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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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Performance-oriented {DevOps}: {A} Research Agenda. (SPEC-RG-2015-01), (2015). SPEC Research Group --- DevOps Performance Working Group, Standard Performance Evaluation Corporation (SPEC).
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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\%
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{How to Build a Benchmark}. in Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering (ICPE 2015) (2015). ACM, New York, NY, USA.
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{Analysis of the Influences on Server Power Consumption and Energy Efficiency for CPU-Intensive Workloads}. in Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering (ICPE 2015) (2015). ACM, New York, NY, USA.acceptance rate: 27\%
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{Using and Extending LIMBO for the Descriptive Modeling of Arrival Behaviors}. in Proceedings of the Symposium on Software Performance 2014 (2014). 131–140. University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.Best Poster Award
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{LIMBO - A Load Intensity Modeling Platform}. (2014, March).
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{Modeling Variations in Load Intensity over Time}. 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. ACM, New York, NY, USA.
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{Modeling Variations in Load Intensity Profiles}. (2014, March). {Karlsruhe Institute of Technology (KIT)}, Am Fasanengarten 5, 76131 Karlsruhe, Germany.Gesellschaft zur F{ö}rderung des Forschungstransfers (GFFT) Prize "Best Master Thesis"
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{LIMBO: A Tool For Modeling Variable Load Intensities}. in Proceedings of the 5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014) (2014). 225–226. ACM, New York, NY, USA.
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{Defining and Measuring Workloads for Elasticity Benchmarking}. (2011). {Karlsruhe Institute of Technology (KIT)}, Am Fasanengarten 5, 76131 Karlsruhe, Germany.
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{Defining and Quantifying Elasticity of Resources in Cloud Computing and Scalable Platforms} (2011). (Vol. 16) Karlsruhe Institute of Technology (KIT), Am Fasanengarten 5, 76131 Karlsruhe, Germany.