典型文献
An Adaptive User Service Deployment Strategy for Mobile Edge Computing
文献摘要：
Mobile edge computing(MEC)is a cloud server running at the edge of a mobile network,which can effectively reduce network communication de-lay.However,due to the numerous edge servers and devices in the MEC,there may be multiple servers and devices that can provide services to the same user simultaneously.This paper proposes a user-side adaptive user service deployment algorithm ASD(Adaptive Service Deployment)based on reinforce-ment learning algorithms.Without relying on com-plex system information,it can master only a few tasks and users.In the case of attributes,perform effec-tive service deployment decisions,analyze and rede-fine the key parameters of existing algorithms,and dy-namically adjust strategies according to task types and available node types to optimize user experience de-lay.Experiments show that the ASD algorithm can implement user-side decision-making for service de-ployment.While effectively improving parameter set-tings in the traditional Multi-Armed Bandit algorithm,it can reduce user-perceived delay and enhance service quality compared with other strategies.
文献关键词：
中图分类号：
作者姓名：
Gang Li;Jingbo Miao;Zihou Wang;Yanni Han;Hongyan Tan;Yanwei Liu;Kun Zhai
作者机构：
Institute of Information Engineering,Chinese Academy of Sciences,Beijing 100093,China;School of Cyber Security,University of Chinese Academy of Sciences,Beijing 101408,China;National Computer Network Emergency Response Technical Team/Coordination Center of China,Beijing 100029,China;Sunwise Intelligent Technology Company,Beijing 100190,China
文献出处：
引用格式：
[1]Gang Li;Jingbo Miao;Zihou Wang;Yanni Han;Hongyan Tan;Yanwei Liu;Kun Zhai-.An Adaptive User Service Deployment Strategy for Mobile Edge Computing)[J].中国通信（英文版）,2022(10):238-249
A类：
rede
B类：
An,Adaptive,User,Service,Deployment,Strategy,Mobile,Edge,Computing,edge,computing,MEC,cloud,running,mobile,network,which,can,effectively,reduce,communication,However,due,numerous,servers,devices,there,may,be,multiple,that,provide,services,same,simultaneously,This,paper,proposes,side,adaptive,deployment,ASD,reinforce,learning,algorithms,Without,relying,plex,system,information,master,only,few,tasks,users,In,case,attributes,perform,decisions,analyze,fine,key,parameters,existing,dy,namically,adjust,strategies,according,types,available,node,optimize,experience,Experiments,show,implement,making,While,improving,set,tings,traditional,Multi,Armed,Bandit,perceived,delay,enhance,quality,compared,other
AB值：
0.577781
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