郑州大学学报（理学版）2025，Vol.57Issue(3)：72-80,9.DOI:10.13705/j.issn.1671-6841.2023246
基于改进遗传算法的可信边缘计算任务卸载方法
Task Offloading Method of Trusted Edge Computing Based on Improved Genetic Algorithm
摘要
Abstract
Aiming at the problem that the trustworthiness of edge servers could not be guaranteed,a trusted edge computing task offloading method based on the improved genetic algorithm was pro-posed.Firstly,in order to encourage edge servers to participate in task offloading competition,a rep-utation mechanism was used to motivate edge servers,and the existing reputation was used as the ba-sis for evaluating the credibility of edge servers.Secondly,the Byzantine consensus mechanism based on reputation and distributed consensus protocol was used to elect the edge server leader.Fi-nally,the edge server leader used an improved genetic algorithm to decide the task offloading behav-ior of the edge server,so as to select the trusted edge server that met the delay and energy consump-tion constraints of users to execute the offloading task of the terminal device.Simulation experiment results showed that the cost of the proposed method was reduced by 5.46％to 59.26％compared with the benchmark schemes.关键词
边缘计算/共识机制/可信度/遗传算法/任务卸载Key words
edge computing/consensus mechanism/credibility/genetic algorithm/task offloading分类
计算机与自动化引用本文复制引用
王亚丽,娄世豪..基于改进遗传算法的可信边缘计算任务卸载方法[J].郑州大学学报（理学版）,2025,57(3):72-80,9.基金项目
国家自然科学基金项目(62072159) （62072159）
河南省科技攻关项目(222102210011,232102211061) （222102210011,232102211061）
