Improving the load of supercomputers based on job migration using container virtualizationстатья

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[1] Polyakov S. P., Dubenskaya Y. Y. Improving the load of supercomputers based on job migration using container virtualization // Selected Papers of the 8th International Conference "Distributed Computing and Grid-technologies in Science and Education". — Vol. 2267 of CEUR Workshop Proceedings (CEUR-WS.org). — CEUR-WS.org, 2018. — P. 243–247. Modern supercomputer schedulers on average may leave ∼10% and sometimes as much as 30% of the computational resources idle. One possible approach to increase the load is to use an additional queue of low-priority jobs small enough to fit into the schedule gaps. We propose to use this approach for non-parallel jobs with arbitrary runtime wrapped in containers to allow them to be saved and migrated to other nodes or back to the queue. As a result, all the idle nodes can be used for computations. We also estimate the increase in average load and utilization efficiency that can be achieved using this approach.

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