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Predicting Performance Degradations of Microservice Applications

. University of Wuerzburg, (May 2020)Wuerzburg Software Engineering Award 2020: Best Master Thesis.

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Kubernetes-in-the-Loop: Enriching Microservice Simulation Through Authentic Container Orchestration., , , , , and . VALUETOOLS, volume 539 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 82-98. Springer, (2023)Automated Triage of Performance Change Points Using Time Series Analysis and Machine Learning: Data Challenge Paper., , , , and . ICPE (Companion), page 29-32. ACM, (2022)Kubernetes-in-the-Loop: Enriching Microservice Simulation Through Authentic Container Orchestration, , , , , and . Performance Evaluation Methodologies and Tools, (2023)In print..Simulating Microservice-based Architectures for Resilience Assessment Enriched by Authentic Container Orchestration, , , , , , and . Software Engineering 2024, Gesellschaft für Informatik e.V., Bonn, (2024)A literature review on optimization techniques for adaptation planning in adaptive systems: State of the art and research directions., , , , and . Inf. Softw. Technol., (2022)MiSim: A Simulator for Resilience Assessment of Microservice-based Architectures, , , , and . 2022 IEEE 22nd International Conference on Software Quality, Reliability and Security (QRS), page 1014-1025. IEEE, (2022)Container Start Times: Empirical Analysis and Predictability (Poster)., and . SSP, volume 3043 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Towards Simulation-Driven Optimization of Container Orchestration Mechanisms, , and . (2023)Leveraging Kubernetes Source Code for Performance Simulation, and . (2022)Container Start Times: Empirical Analysis and Predictability. (2021)