In this paper, a multi-user cooperative computing framework is applied to enable mobile users to utilize available computing resources from other neighboring users via direct communication links. An incentive scheme based on Bertrand game is proposed for the user to determine \textit{who} and \textit{how} to cooperate. We model the resource demand users as \textit{buyers} who aim to use minimal payments to maximize energy savings, whereas resource supply users as \textit{sellers} who aim to earn payments for their computing resource provision. A Bertrand game against \textit{buyer's market} is formulated. When the users have \textit{complete information} of their opponents, the Nash equilibrium (NE) of the game is obtained in closed form, while in the case of \textit{incomplete information}, a distributed iterative algorithm is proposed to find the NE. The simulation results verify the effectiveness of the proposed scheme.
翻译:在本文中,应用了一个多用户合作计算框架,使移动用户能够通过直接通信链接利用其他相邻用户的现有计算资源。 提议了一个基于Bertrand游戏的激励机制, 让用户确定\ textit{who} 和\ textit{how} 合作。 我们将资源需求用户模拟为\ textit{buyers}, 目的是使用最低支付额来最大限度地节约能源, 而资源供应用户则作为 extit{sells}, 目的是为提供计算资源获取付款。 设计了一个Bertrand 游戏, 对抗\ textit{ buyer's 市场} 。 当用户拥有反对者的\ textit{ completic} 时, 游戏的Nash均衡(NE) 以封闭的形式获得, 而对于 \ textitit{ 不完全的信息}, 则建议使用分布式的迭代算法查找 NEE。 模拟结果验证了提议的计划的有效性 。