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Container Orchestration on HPC Systems

2020/12/16 by Naweiluo Zhou, Zhou, Naweiluo, Yiannis Georgiou +7
Computer Science · Decision Sciences · #Cloud Computing and Resource Management #Distributed #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Parallel #Scientific Computing and Data Management #and Cluster Computing (cs.DC)

paper · pdf · doi:10.48550/arxiv.2012.08866

openalex publication_date 2020/12/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/03

Abstract

Containerisation demonstrates its efficiency in application deployment in cloud computing. Containers can encapsulate complex programs with their dependencies in isolated environments, hence are being adopted in HPC clusters. HPC workload managers lack micro-services support and deeply integrated container management, as opposed to container orchestrators (e.g. Kubernetes). We introduce Torque-Operator (a plugin) which serves as a bridge between HPC workload managers and container Orchestrators.

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