兼顾隐私容忍度的移动边缘计算卸载策略  

THE OFFLOADING STRATEGY CONSIDERING PRIVACY TOLERANCE IN MOBILE EDGE COMPUTING

作　　者：潘雨婷 李爱萍 Pan Yuting;Li Aiping(College of Information and Computer,Taiyuan University of Technology,Jinzhong 030600,Shanxi,China)

机构地区：[1]太原理工大学信息与计算机学院,山西晋中030600

出　　处：《计算机应用与软件》2025年第2期111-117,143,共8页Computer Applications and Software

摘　　要：移动边缘计算中如果移动端选择全部卸载的执行策略,不仅会使系统整体时延和能耗增大,而且会使服务器端累积过多的信息从而导致移动端隐私泄露。针对该问题,在考虑用户差异性的基础上,提出一种兼顾隐私容忍度的计算卸载策略,根据时延和能耗制定定价模型,并结合不同的隐私泄露容忍度制定效用函数,基于博弈论来决定是否需要卸载。仿真实验表明,该方法在减少移动端本地时延和能耗的基础上,在一定程度上保护了移动端的隐私。In mobile edge computing,if mobile users choose the strategy of unloading all the applications to the Edge server,it will not only increase the delay,energy consumption,but also cause the server to accumulate too much information,which will lead to the leakage of Mobile users privacy.To solve this problem,considering the user s privacy tolerance differences,an edge computing unloading strategy is proposed on the basis of considering user differences.According to the delay and energy,this paper formulated a pricing model and a utility function combined the privacy model and different privacy breach tolerance.Based on game theory,this system will choose the need unloading mobile users.This simulation results show that this method can reduce the local delay and energy consumption,and protect the privacy of mobile users to a certain extent.

关 键 词：移动边缘计算 计算卸载 隐私容忍度 博弈论 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]