6533b7ddfe1ef96bd1275361

RESEARCH PRODUCT

Theoretical Game Approach for Mobile Users Resource Management in a Vehicular Fog Computing Environment

Mohamed Ayoub MessousJoelle KlaimiSidi-mohammed Senouci

subject

game theoryEdge deviceComputer science[SPI] Engineering Sciences [physics]Distributed computingmobile computingresource allocationCloud computing02 engineering and technologyFog ComputingVehicular Fog Computingdecision makingScheduling (computing)symbols.namesakeAuthor Keywords Cloud ComputingMobile applications0202 electrical engineering electronic engineering information engineeringResource managementEdge computing020203 distributed computingbusiness.industryQuality of service020208 electrical & electronic engineeringcloud computingComputational modelingAdmission controlEdge computingNash equilibriumPotential Game Theorysymbolsquality of servicevehicular ad hoc networksbusinessGamesGame theory

description

Vehicular Cloud Computing (VCC) is envisioned as a promising approach to increase computation capabilities of vehicle devices for emerging resource-hungry mobile applications. In this paper, we introduce the new concept of Vehicular Fog Computing (VFC). The Fog Computing (FC) paradigm evolved and is employed to enhance the quality of cloud computing services by extending it to the edge of the network using one or more collaborative end-user clients or near-user edge devices. The VFC is similar to the VCC concept but uses vehicles resources located at the edge of the network in order to serve only local on-demand mobile applications. The aim of this paper is to resolve the problem of admission control for applications with different QoS requirements and dynamic vehicle resources. In order to model the problem, a potential theoretical game approach is designed and a new scheduling algorithm is proposed. Moreover, we developed the decentralized decision making problem among vehicles device resources as a decentralized game. We evaluate all game properties and show that the game always admits Nash equilibrium. Simulation results demonstrate that the proposed approach can achieve efficient QoS and scale well as the system size increases.

https://hal.science/hal-02557106