通过“截止日期驱动放置策略”防止虚拟化集群中的虚拟机迁移

M. Tsai, J. Chou, Jye Chen
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引用次数: 6

摘要

虚拟机整合已被证明是一种很有前途的技术,可以节省数据中心的能源成本。它依赖于VM迁移,在非高峰时段将用户应用程序或作业迁移到数量较少的物理服务器上。但是,虚拟机迁移是一项代价高昂的操作,可能会引起一些问题,例如性能下降和系统不稳定。大多数现有的工作都是为了最小化动态整合的迁移成本,当检测到SLA违反或资源利用率不足时,动态整合会在运行时迁移VM。相比之下,本文提出了一种基于服务器关闭时间和作业执行时间的截止日期驱动的虚拟机放置策略,旨在主动防止半静态虚拟机整合中的虚拟机迁移。我们使用真实的HPC集群跟踪以及一组合成生成的工作负载来评估我们的方法。结果表明,我们的方法可以将实际跟踪的迁移次数显著减少70%。我们还演示了我们的方法可以适应不同的工作负载模式,在所有合成工作负载上实现大约50%的一致改进。
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Prevent VM Migration in Virtualized Clusters via Deadline Driven Placement Policy
VM consolidation has been shown as a promising technique for saving energy costs of a data center. It relies on VM migration to move user applications or jobs onto fewer numbers of physical servers during off peak hour. However, VM migration is a costly operation that could cause several concerns, such as performance degradation and system instability. Most existing works were proposed to minimize the migration cost for dynamic consolidation which migrates VM at the runtime when SLA violation or resource under-utilization is detected. In contrast, this paper aims to proactively prevent VM migration for semi-static VM consolidation by proposing a deadline driven VM placement strategy based on the awareness of the server turn-off time and job execution time. We evaluate our approach using a real HPC cluster trace as well as a set of synthetic generated workloads. The results show our approach can significantly reduce the number of migrations by 70% on the real trace. We also demonstrate that our approach can be resilient to different workload patterns by achieving consistent improvement around 50% over all the synthetic workloads.
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