Learning-Based Joint Service Caching and Load Balancing for MEC Blockchain Networks

作     者：Wenqian Zhang Wenya Fan Guanglin Zhang Shiwen Mao Wenqian Zhang;Wenya Fan;Guanglin Zhang;Shiwen Mao

作者机构：College of Information Science and TechnologyDonghua UniversityShanghai 201620China Engineering Research Center of Digitized Textile and Apparel TechnologyMinistry of EducationShanghai 201620China Department of Electrical and Computer EngineeringAuburn UniversityAuburnAL 36849-5201USA 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2023年第20卷第1期

页      面：125-139页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 

基　　金：supported in part by the National Natural Science Foundation of China 62072096 the Fundamental Research Funds for the Central Universities under Grant 2232020A-12 the International S&T Cooperation Program of Shanghai Science and Technology Commission under Grant 20220713000 the Young Top-notch Talent Program in Shanghai the"Shuguang Program"of Shanghai Education Development Foundation and Shanghai Municipal Education Commission the Fundamental Research Funds for the Central Universities and Graduate Student Innovation Fund of Donghua University CUSF-DH-D-2019093 supported in part by the NSF under grants CNS-2107190 and ECCS-1923717 

主　　题：cooperative mobile-edge computing blockchain workload offloading service caching load balancing deep reinforcement learning(DRL) 

摘      要：Integrating the blockchain technology into mobile-edge computing(MEC)networks with multiple cooperative MEC servers(MECS)providing a promising solution to improving resource utilization,and helping establish a secure reward mechanism that can facilitate load balancing among *** addition,intelligent management of service caching and load balancing can improve the network utility in MEC blockchain networks with multiple types of *** this paper,we investigate a learningbased joint service caching and load balancing policy for optimizing the communication and computation resources allocation,so as to improve the resource utilization of MEC blockchain *** formulate the problem as a challenging long-term network revenue maximization Markov decision process(MDP)*** address the highly dynamic and high dimension of system states,we design a joint service caching and load balancing algorithm based on the double-dueling Deep Q network(DQN)*** simulation results validate the feasibility and superior performance of our proposed algorithm over several baseline schemes.