Abstract
Use of software containers and services in science is a rising trend that is not satisfied by the HPC computing resources often available in research contexts. We propose a method to grow Kubernetes clusters onto transient nodes allocated through the Grid Engine batch workload manager. The method is being used to run a mix of data-intensive service applications and bursty HPC-style workflows on an OpenStack-based Kubernetes deployment, while keeping a homogeneous job management, logging, monitoring, and storage infrastructure. Moreover, it is relatively straightforward to convert the implementation to be compatible with other workload managers.
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CITATION STYLE
Piras, M. E., Pireddu, L., Moro, M., & Zanetti, G. (2019). Container Orchestration on HPC Clusters. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11887 LNCS, pp. 25–35). Springer. https://doi.org/10.1007/978-3-030-34356-9_3
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