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Cooperative offloading based on online auction for mobile edge computing

conference contribution
posted on 2023-05-16, 13:10 authored by Xiao Zheng, Syed Bilal Hussain Shah, Liqaa NawafLiqaa Nawaf, Omer F. Rana, Yuanyuan Zhu, Jianyuan Gan

 In the field of edge computing, collaborative computing offloading, in which edge users offload tasks to adjacent mobile devices with rich resources in an opportunistic manner, provides a promising example to meet the requirements of low latency. However, most of the previous work has been based on the assumption that these mobile devices are willing to serve edge users, with no incentive strategy. In this paper, an online auction-based strategy is proposed, in which both users and mobile devices can interact dynamically with the system. The auction strategy proposed in this paper is based on an online approach to optimize the long-term utility of the system, such as start time, length and size, resource requirements, and evaluation valuation, without knowing the future. Experiments verify that the proposed online auction strategy achieves the expected attributes such as individual rationality, authenticity and computational ease of handling. In addition, the index of theoretical competitive ratio also indicates that the proposed online mechanism realizes near-offline optimal long-term utility performance. 


Presented at

17th International Conference, WASA 2022, Dalian, China, November 24–26, 2022

Published in

Wireless Algorithms, Systems, and Applications. WASA 2022. Lecture Notes in Computer Science, vol 13473




  • AM (Accepted Manuscript)


Zheng, X., Shah, S.B.H., Nawaf, L., Rana, O.F., Zhu, Y., Gan, J. (2022). Cooperative Offloading Based on Online Auction for Mobile Edge Computing. In: Wang, L., Segal, M., Chen, J., Qiu, T. (eds) Wireless Algorithms, Systems, and Applications. WASA 2022. Lecture Notes in Computer Science, vol 13473. Springer, Cham.

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