Abstract:  Virtual machine placement can control the efficiency of physical server in data center of smart grid. The main idea is to make the balance of time, space, computing resources and energy consumption. It has met the bottlenecks, which are the contradiction of robustness and flexibility, and the problem of non-equilibrium allocation of finite resources. This paper proposes an optimal virtual machine placement algorithm for data center based on Orbital Shrinking. First, the applicability of virtual machine placement for data center is analyzed, to determine objective optimization and dynamic boundary constraint resources effectively. Then, based on the Orbital Shrinking model, a multidimensional knapsack model with computing resources, temporal and spatial conditions and energy consumption conditions is established. The overall balance of the placement strategy of the virtual machine is realized. The simulation results show that the new algorithm can effectively improve the computing resources by 9.8% and reduce data processing latency by 10.3 s.

Key words: virtual machine, grid, data center, Orbital Shrinking, placement algorithm