Virtual machine allocation strategy in energy-efficient cloud data centres

Shunfu Jin, Xiuchen Qie, Shanshan Hao
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引用次数: 4

Abstract

Energy consumption is significant in cloud data centres even when some virtual machines (VMs) are idle. Taking into account both the energy efficiency and the response performance, we propose a VM allocation strategy with speed switch and VM consolidation in the cloud data centre. When the traffic is lighter, the processing speed of VMs in baseline module will be switched between a low speed and a high speed. When the traffic is much heavier, the VMs in reserved module will be consolidated with the VMs in baseline module, and operates at a high speed. We establish a two-dimensional Markov chain to mathematically estimate the energy-saving degree and the response performance. Numerical experiments with analysis and simulation show that our proposed VM allocation strategy can effectively reduce the energy consumption as well as guarantee the response performance.
高能效云数据中心中的虚拟机分配策略
在云数据中心中,即使一些虚拟机处于空闲状态,能耗也是非常大的。考虑到能源效率和响应性能,我们提出了一种在云数据中心中具有速度切换和虚拟机整合的虚拟机分配策略。当业务量较小时,基线模块虚拟机的处理速度会在低速和高速之间切换。当业务量较大时,预留模块中的虚拟机将与基线模块中的虚拟机进行整合,并保持高速运行。建立了二维马尔可夫链,从数学上估计了系统的节能程度和响应性能。数值实验分析和仿真结果表明,本文提出的虚拟机分配策略在保证响应性能的同时,有效地降低了系统能耗。
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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