异构云平台中能源有效的虚拟机部署研究

能源消耗已经成为数据中心操作成本的重要组成部分,虚拟化技术是降低数据中心能源消耗的有效方法之一.为了降低数据中心过高的能源消耗,利用虚拟化技术,结合数据中心中物理机的异构性和虚拟机所需资源的多维性,提出了一个衡量不同类型物理机性能的模型和一个衡量多维资源利用率的模型,在此基础上提出了一个异构云平台下能源有效的虚拟机部署算法.仿真实验表明,与MBFD算法及BFD算法相比,该算法不仅可以有效地降低系统的能源消耗,而且还提高了资源利用率,减少了资源的浪费.

Energy-efficient Virtual Machine Placement for Heterogeneous Cloud Platform

Energy consumption has become an important part of the operational cost of data center,and virtualization technology is one of the effective methods to reduce the energy consumption of data center.In order to reduce the high energy consumption of data center,we used the technology of virtualization,combining the heterogeneity of the physical machine and the multi-dimensional nature of resources that the virtual machine requires in the data center.A measurement model for the performance of different physical machines and another one for the multi-dimensional resource utilization rate were proposed,and then,on the premise of that,a deployment algorithm for virtual machine based on heterogeneous cloud platform was proposed.Simulation results show that the algorithm,compared with the MBFD and BFD,can reduce the energy consumption of system effectively,besides,it improves the utilization rate of resources and reduces the waste of resource.