Unveiling Temporal Performance Deviation: Leveraging Clustering in Microservices Performance Analysis

Author:

Bauer André1ORCID,Dittus Timo2ORCID,Straesser Martin2ORCID,Kamatar Alok1ORCID,Baughman Matt1ORCID,Beierlieb Lukas2ORCID,Hadry Marius2ORCID,Grillmeyer Daniel2ORCID,Lubas Yannik2ORCID,Kounev Samuel2ORCID,Foster Ian3ORCID,Chard Kyle1ORCID

Affiliation:

1. University of Chicago, Chicago, IL, USA

2. University of Würzburg, Würzburg, Germany

3. Argonne National Laboratory, Lemont, IL, USA

Funder

DFG, German Research Foundation

Publisher

ACM

Reference10 articles.

1. The globus compute dataset: An open function-as-a-service dataset from the edge to the cloud

2. Leo Breiman Jerome Friedman Charles J. Stone and R.A. Olshen. 1984. Classification and Regression Trees. Chapman and Hall/CRC.

3. European Statistical Office (Eurostat). 2021. Cloud computing - statistics on the use by enterprises. https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Cloud_computing_-_statistics_on_the_use_by_enterprises Retrieved October 13, 2022.

4. Darby Huye, Yuri Shkuro, and Raja R. Sambasivan. 2023. Lifting the veil on Metatextquoterights microservice architecture: Analyses of topology and request workflows. In 2023 USENIX Annual Technical Conference (USENIX ATC 23). USENIX Association, Boston, MA, 419--432. https://www.usenix.org/conference/atc23/presentation/huye

5. Least squares quantization in PCM

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