Abstract:The power consumption of cloud computing data centers is huge. Most cloud computing data centers do not achieve high resource utilization. Usually only 15%-20%, and a considerable number of servers are idle, resulting in a large number of The energy consumption is wasted. In order to effectively reduce the energy consumption of cloud computing data centers, a cloud computing data center virtual machine energy-saving scheduling algorithm (PVMAP algorithm) suitable for heterogeneous cluster systems is proposed. Simulation results show that compared with the classical algorithm PABFD, PVMAP The energy consumption of the algorithm is significantly lower, and the scalability and stability are better. At the same time, with the continuous increase in the number of , the total number of virtual machine migrations and the total number of shutdown hosts in the PVMAP algorithm will be lower than the PABFD algorithm.