Migration strategy of edge computing tasks based on Particle Swarm Optimization

Abstract:
Edge computing is to migrate terminal tasks to the edge server for execution, and reduce task execution delay and terminal energy consumption through reasonable migration decision. In view of the fact that a large number of literatures ignore the balance of computing tasks between servers, a multi-task multi-server joint optimization strategy based on Particle Swarm Optimization (PSO) algorithm is proposed. Taking the delay and energy consumption as the optimization objectives, and considering the queuing delay and the balance of the amount of computation of the edge computing server (MEC). Simulation results show that, compared with other algorithms, the average task cost of the proposed algorithm based on Particle Swarm Optimization is the smallest, and the idle MEC server can be fully utilized.