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Evaluating Kubernetes batch scheduling systems for containerized declarative data analyses

Xavier Tintin · CERN

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About

REANA is a reusable and reproducible research data analysis platform that allows researchers to run declarative computational workflows on a remote compute cloud. REANA currently uses native Kubernetes Job API to schedule user workloads on Kubernetes clusters. This study evaluates the features and performance of the Kubernetes native batch scheduling systems Kueue, as a possible alternative for REANA. The findings of this study leverage representative particle physics model analyses to provide valuable insight into the strengths and limitations of the Kueue scheduling system for its future integration into the REANA ecosystem..

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The talk

  1. Evaluating Kubernetes batch scheduling systems for containerized declarative data analyses 2023-08-15 · 10 min · CERN's player

Credits and licence

Institution
CERN
Department
CERN openlab Summer Student Programme 2023
Speaker
Xavier Tintin
Year
2023
Language
English
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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