关键词: 云计算, 虚拟机, 指数平滑法, 动态整合

Abstract: For issue of Virtual Machine （VM） migration in cloud computing environment when it comes to meeting the demands of load balancing, auto scaling, green energy-saving etc, this paper designs a scheduling algorithm for dynamic consolidation of virtual machines based on Brown’s cubic Exponential Smoothing （ES）. By organically integrating the maximum correlation policy and the algorithm denoted Power Aware Best Fit Decreasing （PABFD）, the proposed algorithm achieves dynamic balance of the load of entire data center, as well as with the exponential smoothing prediction model to predict the workload condition in future time. The simulation results show that the algorithm can reduce the energy consumption of data centers and Service Level Agreement violations, effectively increasing the overall resource utilization of data center as the core of the cloud infrastructure.

Key words: cloud computing, virtual machine, exponential smoothing, dynamic consolidation