通过云- hpc融合调度器减少响应时间SLO违规的数量

Alessandro Kraemer, C. Maziero, Olivier Richard, D. Trystram
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引用次数: 3

摘要

最近,将工作从高性能计算平台迁移到云计算引起了一些关注。首先,在这种迁移场景中,云环境被视为HPC平台的虚拟硬件扩展。另一方面,从云到高性能计算平台的作业迁移是一个很少被探索的话题。然而,它在某些情况下可能是有用的,特别是当HPC平台的资源使用水平较低而云使用水平较高时。在这种情况下,将作业从云迁移到HPC有可能避免由于超额预订而驱逐云作业。本文提出了一种将作业从云端迁移到高性能计算平台的调度策略。初步实验结果表明,该策略减少了云作业的响应时间服务水平目标(SLO)违规次数,对一组HPC作业的完工时间影响较小。
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Reducing the number of response time SLO violations by a cloud-HPC convergence scheduler
The migration of jobs from HPC platforms to the cloud has received some interest recently. On the first hand, in such migration scenario, the cloud environment is seen as a virtual hardware extension for the HPC platform. On the other hand, job migration from the cloud to an HPC platform is a much less explored topic. Nevertheless, it may be useful in some cases, in particular when the HPC platform has a low resource usage level and the cloud usage level is high. In such a case, migrating jobs from the cloud to HPC has the potential to avoid evicting cloud jobs due to overbooking. This paper proposes a new scheduling strategy for migrating jobs from the cloud to an HPC platform. Preliminary experimental results show that the proposed strategy reduces the number of response time Service Level Objectives (SLO) violations for cloud jobs and has a low impact on the makespan of a set of HPC jobs.
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