Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

Journal of Beijing University of Posts and Telecommunications ›› 2022, Vol. 45 ›› Issue (4): 98-103.doi: 10.13190/j.jbupt.2021-200

• Special Topics on Wireless Sensor Networks • Previous Articles     Next Articles

Combined Multi-Resource Task Offloading Algorithm for P2P in Edge Computing

LU Weifeng1,2, LI Xueqing1,2, XU Jia1,2, CHEN Siguang3   

  1. 1. School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;
    2. Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;
    3. School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
  • Received:2021-09-27 Online:2022-08-28 Published:2022-06-26

Abstract: 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.

Key words: peer-to-peer, task offloading, resource sharing, incentive mechanism, allocation algorithm

CLC Number: