Evaluating Kubernetes batch scheduling systems for containerized declarative data analyses

<!--HTML-->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.