Edge computing provides computing resources and caching services at the network edge,effectively reducing execution latency and energy consumption.However,due to user mobility and network randomness,caching services and user tasks frequently migrate between edge servers,increasing system costs.The migration computation model based on pre-caching is constructed and the joint optimization problem of resource allocation,service caching and migration decision-making is investigated.To address this mixed-integer nonlinear programming problem,the original problem is decomposed to optimize the resource allocation using Karush-Kuhn-Tucker condition and bisection search iterative method.Additionally,a Joint optimization algorithm for Migration decision-making and Service caching based on a Greedy Strategy(JMSGS)is proposed to obtain the optimal migration and caching decisions.Simulation results show the effectiveness of the proposed algorithm in minimizing the weighted sum of system energy consumption and latency.
维普
万方数据