Abstract
Virtual Machine Migration (VMM) is a key technology in data centers. Due to the uncertainty of applications in resource allocation, the imbalance of resource utilization is badly poor. In this paper, an Auto-regression Moving Average model is proposed to predict the resource requirement of a certain virtual machine, while the resource utilization rate of the physical machine is analyzed. Since the existing VMM scheme basically follows one by one migration, which makes the migration be unable to achieve the global optimum and save more energy, the paper introduces migrated cost matrix, and recommends a set of migrations with the best performance from a global point of view to carry out the migration, and improves the three-step'' method in the traditional migrated scheme to achieve energy efficiency. Simulation experiments show that the proposed scheme in the paper can effectively reduce the energy consumption, and can improve the quality of service in a certain degree.