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Microservices: A Performance Tester's Dream or Nightmare?

, , , , and . Proceedings of the 11th ACM/SPEC International Conference on Performance Engineering (ICPE 2020), (2020)Accepted.

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Online model learning for self-aware computing infrastructures., , , and . Journal of Systems and Software, (2019)TeaStore: A Micro-Service Reference Application for Benchmarking, Modeling and Resource Management Research., , , , , and . MASCOTS, page 223-236. IEEE Computer Society, (2018)The Vision of Self-Aware Performance Models., , and . ICSA Companion, page 60-63. IEEE Computer Society, (2018)How is Performance Addressed in DevOps?, , , , , , , , , and 1 other author(s). ICPE, page 45-50. ACM, (2019)Tools for Declarative Performance Engineering., , , , and . ICPE Companion, page 53-56. ACM, (2018)Utilizing Clustering to Optimize Resource Demand Estimation Approaches., , , , , and . FAS*W@SASO/ICAC, page 134-139. IEEE, (2019)A SPEC RG Cloud Group's Vision on the Performance Challenges of FaaS Cloud Architectures., , , , and . ICPE Companion, page 21-24. ACM, (2018)Blackbox Learning of Parametric Dependencies for Performance Models., , , and . MoDELS (Workshops), volume 2245 of CEUR Workshop Proceedings, page 78-86. CEUR-WS.org, (2018)Microservices : A Performance Tester's Dream or Nightmare?, , , , and . Proceedings of the ACM/SPEC International Conference on Performance Engineering, page 138-149. New York, NY, Association for Computing Machinery, (2020)Detecting Parametric Dependencies for Performance Models Using Feature Selection Techniques., , , , , and . MASCOTS, page 309-322. IEEE Computer Society, (2019)