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Abstract
Containerisation demonstrates its efficiency in application deployment in Cloud Computing. Containers can encapsulate complex programs with their dependencies in isolated environments making applications more portable, hence are being adopted in High Performance Computing (HPC) clusters. Singularity, initially designed for HPC systems, has become their de facto standard container runtime. Nevertheless, conventional HPC workload managers lack micro-service support and deeply-integrated container management, as opposed to container orchestrators. We introduce a Torque-Operator which serves as a bridge between HPC workload manager (TORQUE) and container orchestrator (Kubernetes). We propose a hybrid architecture that integrates HPC and Cloud clusters seamlessly with little interference to HPC systems where container orchestration is performed on two levels.
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1 University of Stuttgart, High Performance Computing Center Stuttgart (HLRS), Stuttgart, Germany (GRID:grid.5719.a) (ISNI:0000 0004 1936 9713)
2 Ryax Technologies, Lyon, France (GRID:grid.5719.a)
3 Institute of Bioorganic Chemistry of the Polish Academy of Sciences, Poznan Supercomputing and Networking Center (PSNC), Poznan, Poland (GRID:grid.418855.5) (ISNI:0000 0004 0631 2857)
4 University of Novi Sad, BioSense Institute, Novi Sad, Serbia (GRID:grid.10822.39) (ISNI:0000 0001 2149 743X)