通信学报2024，Vol.45Issue(3)：142-154,13.DOI:10.11959/j.issn.1000-436x.2024030
信任环境下考虑系统公平性的边缘计算卸载策略和资源分配
Edge computing offloading policies and resource allocation considering system fairness in trusted environments
摘要
Abstract
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.关键词
边缘计算/信任模型/公平性/资源分配Key words
edge computing/trust model/fairness/resource allocation分类
信息技术与安全科学引用本文复制引用
杨守义,李富康,任瑞敏..信任环境下考虑系统公平性的边缘计算卸载策略和资源分配[J].通信学报,2024,45(3):142-154,13.基金项目
国家自然科学基金资助项目(No.U1604159) The National Natural Science Foundation of China(No.U1604159) （No.U1604159）
