Considering the fairness problem in edge computing in an unreliable trust environment,the offloading decision and resource allocation problem of edge computing was studied for a multi-user multi-server scenario.Based on the pro-posed real-time trust model,system fairness was defined from the perspective of user satisfaction,a joint optimization model considering trust and fairness was established,and a trust-based task offloading and resource allocation(TOA)al-gorithm was proposed on this basis.The original NP-hard problem was converted into multiple deterministic optimization subproblems,the offloading strategy was determined based on the backtracking algorithm,and the optimization of re-source allocation was accomplished by using the Lagrange multiplier method,the convex optimization toolbox,and the bifurcated iterative search method,so as to achieve system fairness and enhance user satisfaction.Simulation experi-mental results show that the proposed algorithm outperforms other benchmark algorithms.
维普
万方数据