基于灰色关联度的云计算虚拟机分配方法

发布时间：2019-03-06 14:07

【摘要】：针对云计算系统中资源利用率提高和系统能耗降低之间的协调问题,提出了一种新的基于灰色关联度的虚拟机分配方法,应用灰色关联度的基本理论建立了基于服务层协议(SLA)违背率、系统能耗和服务器负载评价函数的虚拟机分配决策模型,构造了基于灰色关联度的虚拟机分配算法,并在CloudSim仿真平台上进行了实验。实验结果表明,与传统的基于简单线性权重的多目标优化方法相比,在不同的虚拟机选择策略下,基于灰色关联度的虚拟机分配方法在系统能耗、SLA违背率和虚拟机迁移次数上平均降低了6.8%、5.2%和15.5%。因此,所提方法在不同的虚拟机选择策略下能够大幅度减少虚拟机迁移次数,较好地满足系统在能耗和SLA违背率上的优化需求。
[Abstract]:In order to solve the problem of coordination between resource utilization and energy consumption reduction in cloud computing system, a new virtual machine allocation method based on grey relational degree is proposed. In this paper, a virtual machine allocation decision model based on service layer protocol (SLA) violation rate, system energy consumption and server load evaluation function is established by applying the basic theory of grey relational degree, and a virtual machine allocation algorithm based on grey correlation degree is constructed. The experiment is carried out on the CloudSim simulation platform. The experimental results show that compared with the traditional multi-objective optimization method based on simple linear weight, under different virtual machine selection strategies, the virtual machine allocation method based on grey correlation degree is used in the system energy consumption. SLA violations and virtual machine migration decreased by an average of 6.8 percent, 5.2 percent and 15.5 percent, on average. Therefore, the proposed method can greatly reduce the number of virtual machine migrations under different virtual machine selection strategies, and can better meet the optimization needs of the system in terms of energy consumption and SLA violation rate.
【作者单位】：天津财经大学信息科学与技术系;
【基金】：天津市高等学校科技发展基金资助项目(20110819)
【分类号】：TP302

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