SuanMing: Explainable Prediction of Performance Degradations in Microservice Applications

Author:

Grohmann Johannes1,Straesser Martin1,Chalbani Avi2,Eismann Simon1,Arian Yair2,Herbst Nikolas1,Peretz Noam2,Kounev Samuel1

Affiliation:

1. University of Würzburg, Würzburg, Germany

2. Huawei Technologies, Tel Aviv, Israel

Publisher

ACM

Reference36 articles.

1. GluonTS: Probabilistic and Neural Time Series Modeling in Python;Alexandrov Alexander;Journal of Machine Learning Research,2020

2. Time Series Forecasting for Self-Aware Systems

3. Toward ML-centric cloud platforms

4. An online failure prediction system for private IaaS platforms

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1. Blueprint: A Toolchain for Highly-Reconfigurable Microservice Applications;Proceedings of the 29th Symposium on Operating Systems Principles;2023-10-23

2. Towards Performance Management of Large-Scale Microservices Applications;2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C);2023-09-25

3. μP: A Development Framework for Predicting Performance of Microservices by Design;2023 IEEE 16th International Conference on Cloud Computing (CLOUD);2023-07

4. OSCAR-P and aMLLibrary;Companion of the 2023 ACM/SPEC International Conference on Performance Engineering;2023-04-15

5. B-MEG;Companion of the 2022 ACM/SPEC International Conference on Performance Engineering;2022-07-14

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