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All-pay Auction Based Profit Maximization in End-to-End Computation Offloading System

2024/03/14 by Hai Xue, Yunxia Xia, Xue, Hai +7
Computer Science · #Blockchain Technology Applications and Security #Cloud Computing and Resource Management #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #IoT and Edge/Fog Computing

paper · pdf · doi:10.48550/arxiv.2403.09129

openalex publication_date 2024/03/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Pricing is an important issue in mobile edge computing. How to appropriately determine the bid of end user (EU) is an incentive factor for edge cloud (EC) to offer service. In this letter, we propose an equilibrium pricing scheme based on the all-pay auction model in end-to-end collaboration environment, wherein all EUs can acquire the service at a lower price than the own value of the required resource. In addition, we propose a set allocation algorithm to divide all the bidders into different sets according to the price, and the EUs in each set get the service, which averts the case of getting no service due to the low price. Extensive simulation results demonstrate that the proposed scheme can effectively maximize the total profit of the edge offloading system, and guarantee all EUs can access the service.

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