虚拟机整合过载检测算法的优化

Chao Chen, Kejing He, Dongyan Deng
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引用次数: 4

摘要

随着对计算资源需求的不断增长,世界各地建立了大量的大型数据中心。数据中心在提供高效、便捷的计算服务的同时,也消耗着巨大的能源。因此,降低数据中心的能耗是非常重要和有意义的。虚拟机整合(VMC)是一种有效的策略,可以提高数据中心的能源效率。在本研究中,我们在现有算法的基础上提出了一种新的过载检测算法,以实现能源和服务水平协议(SLA)违反之间更好的权衡。该算法的预测过程主要基于虚拟机的使用历史。实验结果表明,与原来的基于主机的框架相比,本文提出的基于虚拟机的框架平均降低了23.4%的ESV。
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Optimization of the overload detection algorithm for virtual machine consolidation
With the increasing demand of computing resources, a lot of large-scale data centers have been established around the world. Data centers provide efficient and convenient computing services while consume enormous energy at the same time. Therefore, reducing the energy consumption in data center is important and meaningful. Virtual machine consolidation (VMC) is an effective strategy that can improve the energy efficiency of data centers. In this research, we have put forward a new overload detection algorithm on the basis of existing algorithms to achieve better tradeoff between energy and service level agreement (SLA) violation. The prediction process of the proposed algorithm is mainly based on the utilization history of VMs. The experimental results demonstrate that compared with the original host-based framework, the proposed VM-based framework reduces the average ESV by 23.4%.
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