Joint Task Allocation and Resource Optimization for Blockchain Enabled Collaborative Edge Computing  

作　　者：Xu Wenjing Wang Wei Li Zuguang Wu Qihui Wang Xianbin 

机构地区：[1]College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China [2]Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space,Ministry of Industry and Information Technology,Nanjing 211106,China [3]Department of Electrical and Computer Engineering,Western University,Canada

出　　处：《China Communications》2024年第12期231-242,共12页中国通信（英文版）

基　　金：This work was supported in part by the National Key R&D Program of China under Grant 2020YFB1005900;the National Natural Science Foundation of China under Grant 62001220;the Jiangsu Provincial Key Research and Development Program under Grants BE2022068;the Natural Science Foundation of Jiangsu Province under Grants BK20200440;the Future Network Scientific Research Fund Project FNSRFP-2021-YB-03;the Young Elite Scientist Sponsorship Program,China Association for Science and Technology.

摘　　要：Collaborative edge computing is a promising direction to handle the computation intensive tasks in B5G wireless networks.However,edge computing servers(ECSs)from different operators may not trust each other,and thus the incentives for collaboration cannot be guaranteed.In this paper,we propose a consortium blockchain enabled collaborative edge computing framework,where users can offload computing tasks to ECSs from different operators.To minimize the total delay of users,we formulate a joint task offloading and resource optimization problem,under the constraint of the computing capability of each ECS.We apply the Tammer decomposition method and heuristic optimization algorithms to obtain the optimal solution.Finally,we propose a reputation based node selection approach to facilitate the consensus process,and also consider a completion time based primary node selection to avoid monopolization of certain edge node and enhance the security of the blockchain.Simulation results validate the effectiveness of the proposed algorithm,and the total delay can be reduced by up to 40%compared with the non-cooperative case.

关 键 词：blockchain collaborative edge comput-ing resource optimization task allocation 

分 类 号：TN929.5[电子电信—通信与信息系统] TP311.13[电子电信—信息与通信工程]