关键词: 性能, 能耗, 数据中心, 云计算, 虚拟化

Abstract:

In order to optimize the high energy consumption and to keep certain quality of service in the cloud computing data center, an optimization method for performance and energy aware was proposed. Firstly, local regression was used to determine whether the host is overloaded and using mean value determined whether the host is underloaded. And then, the virtual machine of the overloaded host was shifted into queue according to the minimum migration times and the maximum or minimum CPU utilization strategy. Finally, the performance and energy aware algorithm was designed to deploy the virtual machine in the queue and underloaded host. Simulations show that the proposed algorithm not only improves system performance but also reduces system energy consumption.

Key words: performance, energy consumption, data center, cloud computing, virtualization