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Improving the load of supercomputers based on job migration using container virtualizationстатья
- Авторы: Polyakov S.P., Dubenskaya Yu Yu
- Сборник: Selected Papers of the 8th International Conference "Distributed Computing and Grid-technologies in Science and Education"
- Серия: CEUR Workshop Proceedings (CEUR-WS.org)
- Том: 2267
- Год издания: 2018
- Место издания: CEUR-WS.org
- Первая страница: 243
- Последняя страница: 247
- Аннотация: 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.
- Добавил в систему: Поляков Станислав Петрович