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TeaStore - A Micro-Service Application for Benchmarking, Modeling and Resource Management Research. 9th Symposium on Software Performance, (ноября 2018)Utilizing Clustering to Optimize Resource Demand Estimation Approaches, , , , , и . 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W), стр. 134--139. IEEE, (июня 2019)Online model learning for self-aware computing infrastructures, , , и . Journal of Systems and Software, (2019)Predicting the Costs of Serverless Workflows, , , , и . Proceedings of the 2020 ACM/SPEC International Conference on Performance Engineering (ICPE), стр. 265--276. New York, NY, USA, Association for Computing Machinery (ACM), (апреля 2020)Acceptance Rate: 23.4% (15/64).On Learning Parametric Dependencies from Monitoring Data., , и . Softwaretechnik-Trends, 39 (4): 14-16 (2019)A case study on the stability of performance tests for serverless applications., , , , , , и . J. Syst. Softw., (2022)Buzzy: Towards Realistic DBMS Benchmarking via Tailored, Representative, Synthetic Workloads: Vision Paper., , , , , и . ICPE (Companion), стр. 175-178. ACM, (2021)How is Performance Addressed in DevOps?, , , , , , , , , и 1 other автор(ы). ICPE, стр. 45-50. ACM, (2019)Serverless Applications: Why, When, and How?, , , , , , и . CoRR, (2020)Flexible Performance Predictions at Run-time. HotCloudperf 2018, (апреля 2018)