All-Pay Auction Based Profit Maximization in End-to-End Computation Offloading System
Hai Xue, Yunxia Xia, Di Zhang, Honghua Wei, Xiaolong Xu · IEEE Transactions on Vehicular Technology · 2024
Resource pricing is an important issue in mobile edge computing, how to determine the bid of end user (EU) appropriately is an incentive factor for edge cloud (EC) to offer service. In this paper, we propose an equilibrium pricing scheme based on all-pay auction model in end-to-end collaboration environment, wherein the EUs can acquire service at a lower price than the own value of the required resource. In addition, we propose a set allocation algorithm to divide all bidders into different sets according to their resource valuations, which averts the situation of the higher bidder monopolizing the EC resources. Extensive simulation results demonstrate that the proposed scheme effectively maximizes the total profit of ECs while guaranteeing the EU can access services at a lower price.