关键词: 移动边缘计算, 时延与能耗, 负载均衡, 多变异差分算法, 计算卸载

Abstract: In Mobile Edge Computing (MEC),computation offloading can effectively alleviate resource constraints and improve network quality of service.A joint optimization of delay and energy consumption computation offloading scheme for MEC was proposed with the joint optimization of task delay,terminal energy consumption and edge server load rate.A cost optimization model with multi-objective constraints was constructed,and a Multi-Mutation Differential Evolution (MDE) algorithm was designed by introducing the multi-mutation operator that was updated with iterative correlation probability to solve.To verify the effectiveness of MDE algorithm,three different scale experimental networks were constructed based on Autonomous Systems by Skitter public dataset.Compared with random computation offloading scheme,energy optimization computation offloading scheme and multi-objective greedy computation offloading scheme,MDE algorithm improved the execution success rate,offloading success rate and server load balancing by 13.23%,12.96%,29.37% respectively,which could realize efficient and stable computation offloading in MEC.

Key words: mobile edge computing, delay and energy consumption, load balance, multi-mutation differential algorithm, computation offloading