%0 Journal Article
%A CHEN Siguang
%A LI Xueqing
%A XU Jia
%A LU Weifeng
%T Combined Multi-Resource Task Offloading Algorithm for P2P in Edge Computing
%D 2022
%R 10.13190/j.jbupt.2021-200
%J Journal of Beijing University of Posts and Telecommunications
%P 98-103
%V 45
%N 4
%X In order to solve the problem of task offloading that requires the cooperation of multiple resources in the peer-to-peer system, a multi-resource combination transaction offloading algorithm is proposed, and an incentive mechanism is designed to encourage devices to join the task offloading system, while ensuring that the resources in the system can be efficiently utilized. Through rigorous theoretical analysis, it is proved that the designed multi-resource combination transaction mechanism satisfies the feasibility of calculation efficiency and individual rationality, and extensive experimental simulations are carried out, although the number of resource transactions of the proposed multi-resource combination transaction offloading algorithm does not reach the number of resource transactions under the comparison algorithm, but the time complexity of the algorithm is far lower than the comparison algorithm.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2021-200