A virtual machine deployment strategy based on improved flower pollination algorithm

The main goal of constructing a green cloud data center is low energy consumption, and optimizing virtual machine deployment is an effective method to reduce energy consumption. Therefore, a virtual machine deployment strategy based on improved flower pollination algorithm is proposed. The improved maximum and minimum distance method is designed to be applied to the initial population generation process to improve the quality of the initial solution. An adaptive switching probability strategy is proposed to adjust global pollination and local pollination to generate Deployment scheme for mapping virtual machines to servers. The results of simulation experiments show that show that the improved algorithm can significantly reduce energy consumption.