基于蚁群优化算法的绿色云计算虚拟机迁移策略

Migration Strategy of Green Cloud Computing Virtual Machine Based on Ant Colony Optimization Algorithm

为了提高绿色云计算的能源利用率并降低其能耗,提出了一种基于蚁群优化算法的虚拟机迁移策略,该策略的目标是最小化云计算中心能耗的同时保证服务质量.首先,通过预设资源利用率阈值,找出低负载和过载的物理机;然后通过迁出低负载和过载服务器节点上的虚拟机,达到节能的目的;最后,根据虚拟机迁移列表,采用蚁群优化算法快速寻找虚拟机迁移最佳物理机.仿真结果表明,与其他算法相比,本文提出的迁移策略的执行时间和能耗最小.

In order to improve the energy efficiency of green cloud computing and reduce its energy consumption,a virtual machine migration strategy based on ant colony optimization algorithm has been proposed.The goal of this strategy is to minimize the energy consumption of cloud computing center while ensuring service quality.Firstly,low-load and overloaded physical machines are identified by presupposing resource utilization threshold;then,energy-saving is achieved by moving out virtual machines on low-load and overloaded server nodes;and finally,according to the virtual machine migration list,ant colony optimization algorithm is used to quickly find the best physical machines for virtual machine migration.The simulation results show that compared with other algorithms,the proposed migration strategy has the least execution time and energy consumption.