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All-pay Auction Based Profit Maximization in End-to-End Computation Offloading System
arXiv - CS - Computer Science and Game Theory Pub Date : 2024-03-14 , DOI: arxiv-2403.09129
Hai Xue, Yun Xia, Di Zhang, Honghua Wei, Xiaolong Xu

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.

中文翻译:

端到端计算卸载系统中基于全付费拍卖的利润最大化

定价是移动边缘计算的一个重要问题。如何合理确定最终用户(EU)的出价是边缘云(EC)提供服务的激励因素。在这封信中,我们提出了一种基于端到端协作环境中的全付费拍卖模型的均衡定价方案,其中所有欧盟都可以以低于所需资源自身价值的价格获得服务。此外,我们提出了一种集合分配算法,将所有投标人根据价格分为不同的集合,每个集合中的EU获得服务,避免了因价格低而得不到服务的情况。大量的仿真结果表明,所提出的方案能够有效地最大化边缘卸载系统的总利润,并保证所有EU都能访问该服务。
更新日期:2024-03-15
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