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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{buyers 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.
In this paper, we propose a matching theory based multi-user cooperative computing (MUCC) scheme to minimize the overall energy consumption of a group of user equipments (UEs), where the UEs can be classified into the following roles: resource demand
This paper considers the setting where a cloud server services a static set or a dynamic sequence of tasks submitted by multiple clients. Every client wishes to assure honest execution of tasks by additionally employing a trusted third party (TTP) to
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