论文部分内容阅读
针对云计算环境下数据中心高能耗问题,提出了一种能耗性能感知的虚拟机动态整合方法,以优化能耗性能.首先通过局部回归分析判定主机是否过载,利用均值法检测主机是否轻载,然后根据虚拟机最小迁移时间、最大和最小CPU利用率策略选择要迁移的虚拟机加入到迁移队列,最后运用能耗性能感知的虚拟机部署优化算法对虚拟机进行优化部署.仿真结果显示,该算法不但提高了系统性能,而且也降低了系统能耗.
Aiming at the problem of high energy consumption in data center in cloud computing environment, a dynamic integration method of virtual machine based on energy performance perception is proposed to optimize the performance of energy consumption.Firstly, local regression analysis is used to determine whether the host is overloaded or not, , And then selects the virtual machines to migrate to the migration queue according to the minimum virtual machine migration time, the maximum and the minimum CPU utilization strategies, and finally optimizes the deployment of the virtual machine by using the virtual machine deployment optimization algorithm perceived by the energy consumption performance.From the simulation results, The algorithm not only improves the system performance, but also reduces the system energy consumption.