雾计算中一种可信边缘节点的选择方法  

A Trusted Edge Node Selection Method for Fog Computing

作　　者：孟浩杰 李建敦[1] 奚嘉杰 汪梅梅 吴亚东 MENG Haojie;LI Jiandun;XI Jiajie;WANG Meimei;WU Yadong(School of Electronic Information,Shanghai Institute of Electric Engineering,Shanghai,China,201306)

机构地区：[1]上海电机学院电子信息学院,上海201306

出　　处：《福建电脑》2025年第2期45-48,共4页Journal of Fujian Computer

基　　金：上海市科委项目(No.22010500900、No.21DZ1205000)资助。

摘　　要：在雾计算中,由于不同边缘节点在综合服务能力上存在显著差异,因此为目标任务实时地选择可信赖的边缘节点是个关键问题。为解决这一问题,本文提出一种能对这些边缘节点进行有效过滤并筛选出更优边缘节点的算法。首先提炼出影响雾计算性能的指标体系,包括能耗、最后服务时间等,然后通过归一化得到各指标的权重,再根据权重分配各个指标的占比,并以此获取最优边缘节点。实验的结果表明,本文算法总能源消耗量约减少了12.62%,能实时完成最优边缘节点的筛选,有效保障了雾计算任务的正常运行。In fog computing,due to significant differences in comprehensive service capabilities among different edge nodes,selecting reliable edge nodes in real-time for the target task is a key issue.To solve this problem,this article proposes an algorithm that can effectively filter these edge nodes and select better edge nodes.Firstly,extract the indicator system that affects fog computing performance,including energy consumption,final service time,etc.Then,normalize the weights of each indicator,and allocate the proportion of each indicator based on the weights to obtain the optimal edge node.The experimental results show that the total energy consumption of the algorithm in this paper has been reduced by about 12.62%,and it can complete the real-time screening of the optimal edge nodes,effectively ensuring the normal operation of fog computing tasks.

关 键 词：雾计算 可信计算 节点选择 边缘计算仿真平台 

分 类 号：TP393.01[自动化与计算机技术—计算机应用技术]