Price-based Joint Offloading and Resource Allocation for Ad Hoc Mobile Cloud

With the benefits of improved manageability, cloud computing could be conducted more efficiently. In this paper, we propose a price-based joint offloading and resource allocation (PJORA) algorithm for ad hoc mobile cloud. Firstly, considering the communication and computation cost, a multi-buyer and multi-seller game is formulated to maximize the individual utility of each player. Additionally, the Stackelberg equilibrium (SE) of the game is analyzed and derived in a quasi static scenario with non-uniform pricing and uniform pricing, respectively. Finally, numerical results are given to verify the proposed algorithm, which could facilitate more rational utilization of both wireless and computation resources.

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