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Reducing the number of response time SLO violations by a cloud-HPC convergence scheduler

机译:通过云-HPC融合调度程序减少响应时间SLO违规的数量

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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.
机译:迁移HPC平台到云的迁移最近收到了一些兴趣。在第一手中,在此类迁移方案中,云环境被视为HPC平台的虚拟硬件扩展。另一方面,从云到HPC平台的作业迁移是一个更少的探索主题。然而,在某些情况下,它可能是有用的,特别是当HPC平台具有低资源使用量并且云使用水平很高时。在这种情况下,从云到HPC的迁移作业有可能避免由于超预订而导致的云作业。本文提出了一种新的调度策略,用于将作业从云迁移到HPC平台。初步实验结果表明,该策略缩短了云作业的响应时间服务级别目标(SLO)违规的数量,对一组HPC作业的Mapspan产生了低影响。

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