Jóakim von Kistowski

Orcid: 0000-0002-3046-5373

According to our database1, Jóakim von Kistowski authored at least 38 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Autoscaler Evaluation and Configuration: A Practitioner's Guideline.
Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

2022
Why Is It Not Solved Yet?: Challenges for Production-Ready Autoscaling.
Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

Towards Continuous and Data-driven Specification and Verification of Resilience Scenarios.
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

2021
Methodological Principles for Reproducible Performance Evaluation in Cloud Computing.
IEEE Trans. Software Eng., 2021

Interactive Elicitation of Resilience Scenarios Based on Hazard Analysis Techniques.
Proceedings of the Software Architecture - 15th European Conference, 2021

Scenario-based Resilience Evaluation and Improvement of Microservice Architectures: An Experience Report.
Proceedings of the ECSA 2021 Companion Volume, 2021

2020
Systems Benchmarking - For Scientists and Engineers
Springer, ISBN: 978-3-030-41704-8, 2020

2019
Energy Benchmarking.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Measuring, Rating, and Predicting the Energy Efficiency of Servers (Messung, Bewertung und Vorhersage von Serverenergieeffizienz)
PhD thesis, 2019

Measuring and rating the energy-efficiency of servers.
Future Gener. Comput. Syst., 2019

Measuring the Energy Efficiency of Transactional Loads on GPGPU.
Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering, 2019

Predicting Server Power Consumption from Standard Rating Results.
Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering, 2019

TeaStore - A Micro-Service Reference Application for Performance Engineers.
Proceedings of the Companion of the 2019 ACM/SPEC International Conference on Performance Engineering, 2019

TeaStore - A Micro-Service Reference Application.
Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

Detecting Parametric Dependencies for Performance Models Using Feature Selection Techniques.
Proceedings of the 27th IEEE International Symposium on Modeling, 2019

Integrating Statistical Response Time Models in Architectural Performance Models.
Proceedings of the IEEE International Conference on Software Architecture, 2019

2018
Measuring and Benchmarking Power Consumption and Energy Efficiency.
Proceedings of the Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

SPEC CPU2017: Next-Generation Compute Benchmark.
Proceedings of the Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

TeaStore: A Micro-Service Reference Application for Cloud Researchers.
Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018

TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research.
Proceedings of the 26th IEEE International Symposium on Modeling, 2018

Modeling of Parametric Dependencies for Performance Prediction of Component-Based Software Systems at Run-Time.
Proceedings of the IEEE International Conference on Software Architecture, 2018

Run-Time Prediction of Power Consumption for Component Deployments.
Proceedings of the 2018 IEEE International Conference on Autonomic Computing, 2018

2017
Modeling and Extracting Load Intensity Profiles.
ACM Trans. Auton. Adapt. Syst., 2017

Predicting Power Consumption of High-Memory-Bandwidth Workloads.
Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017

Autopilot: Enabling easy Benchmarking of Workload Energy Efficiency.
Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017

Towards a Scalability and Energy Efficiency Benchmark for VNF.
Proceedings of the Performance Evaluation and Benchmarking for the Analytics Era, 2017

Emulating the Power Consumption Behavior of Server Workloads Using CPU Performance Counters.
Proceedings of the 25th IEEE International Symposium on Modeling, 2017

2016
Univariate Interpolation-based Modeling of Power and Performance.
EAI Endorsed Trans. Energy Web, 2016

Variations in CPU Power Consumption.
Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering, 2016

Predicting Power Consumption in Virtualized Environments.
Proceedings of the Computer Performance Engineering - 13th European Workshop, 2016

2015
Performance-oriented DevOps: A Research Agenda.
CoRR, 2015

Analysis of the Influences on Server Power Consumption and Energy Efficiency for CPU-Intensive Workloads.
Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering, Austin, TX, USA, January 31, 2015

How to Build a Benchmark.
Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering, Austin, TX, USA, January 31, 2015

Energy Efficiency of Hierarchical Server Load Distribution Strategies.
Proceedings of the 23rd IEEE International Symposium on Modeling, 2015

Modeling and Extracting Load Intensity Profiles.
Proceedings of the 10th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2015

2014
Modeling variations in load intensity over time.
Proceedings of the LT'14, 2014

LIMBO: a tool for modeling variable load intensities.
Proceedings of the ACM/SPEC International Conference on Performance Engineering, 2014

Using and Extending LIMBO for the Descriptive Modeling of Arrival Behaviors.
Proceedings of the Symposium on Software Performance: Joint Descartes/Kieker/Palladio Days, 2014


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