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Predicting Performance Degradations of Microservice Applications

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

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Kubernetes-in-the-Loop: Enriching Microservice Simulation Through Authentic Container Orchestration., , , , , и . VALUETOOLS, том 539 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 82-98. Springer, (2023)Automated Triage of Performance Change Points Using Time Series Analysis and Machine Learning: Data Challenge Paper., , , , и . ICPE (Companion), стр. 29-32. ACM, (2022)An Empirical Study of Container Image Configurations and Their Impact on Start Times (Container Image Data)., , , , , , и . (февраля 2023)Container Start Times: Empirical Analysis and Predictability. (2021)Towards Simulation-Driven Optimization of Container Orchestration Mechanisms, , и . (2023)Leveraging Kubernetes Source Code for Performance Simulation, и . (2022)Simulating Microservice-based Architectures for Resilience Assessment Enriched by Authentic Container Orchestration., , , , , , и . Software Engineering, том P-343 из LNI, стр. 133-134. Gesellschaft für Informatik e.V., (2024)Container Start Times: Empirical Analysis and Predictability (Poster)., и . SSP, том 3043 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)A literature review on optimization techniques for adaptation planning in adaptive systems: State of the art and research directions., , , , и . Inf. Softw. Technol., (2022)Simulating Microservice-based Architectures for Resilience Assessment Enriched by Authentic Container Orchestration, , , , , , и . Software Engineering 2024, Gesellschaft für Informatik e.V., Bonn, (2024)