为降低大规模数据中心的能耗，提出了一种虚拟机部署算法——三阈值节能算法(TTEA)．该算法利用能耗与处理器资源利用率的线性关系，将负载过重和负载过轻主机上的虚拟机迁移到负载适度的主机上，而负载正常主机上的虚拟机不发生迁移．基于TTEA，进一步提出了 4 种虚拟机的选择策略，并通过实验对比选择 HLGP 策略作为最佳策略．仿真结果表明，与单阈值算法和双阈值算法相比，HLGP 策略能有效降低数据中心的能耗，保持高的服务质量．

In order to reduce the energy consumption of large- scale data centers,a virtual machine (VM) deploy-ment algorithm called TTEA (Three Threshold Energy- saving Algorithm) is proposed.TTEA makes use of the linearrelationship between energy consumption and processor resource utilization,and migrates the VMs on heavily- loadedand lightly- loaded hosts to the host with proper load,while the VMs on normally- loaded host remain constant.Then,on the basis of TTEA,four VM selection strategies are proposed and HLGP is chosen as the best one as aresult of experimental comparison.Simulated results indicate that,in comparison with the single threshold algorithmand the double threshold algorithm,HLGP strategy is more effective because it efficiently reduces the energy con-sumption of data centers and keeps high quality of service.