Release-time aware VM placement

M. Dabbagh, B. Hamdaoui, M. Guizani, A. Rayes
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引用次数: 27

Abstract

Consolidating virtual machines (VMs) on as few physical machines (PMs) as possible so as to turn into sleep as many PMs as possible can make significant energy savings in cloud centers. Although traditional online bin packing heuristics, such as Best Fit (BF), have been used to reduce the number of active PMs, they share one common limitation; they do not account for VM release times, which can lead to an inefficient usage of energy resources. In this paper, we propose several extensions to the original BF heuristic by accounting for VMs' release times when making VM placement decisions. Our comparative studies conducted on Google traces show that, when compared to existing heuristics, the proposed heuristic reduces energy consumption and enhances utilization of cloud servers.
支持发布时间的虚拟机放置
将虚拟机(vm)整合到尽可能少的物理机(pm)上,从而使尽可能多的pm进入休眠状态,这可以在云中心中显著节省能源。尽管传统的在线装箱启发式方法,如最佳拟合(BF),已被用于减少活动项目管理的数量,但它们有一个共同的局限性;它们不考虑虚拟机的释放时间,这可能导致能源的低效使用。在本文中,我们通过在做出VM放置决策时考虑VM的释放时间,提出了对原始BF启发式的几种扩展。我们在Google trace上进行的比较研究表明,与现有的启发式方法相比,所提出的启发式方法降低了能耗,提高了云服务器的利用率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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