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A Double Auction-Based Approach for Multi-User Resource Allocation in Mobile Edge Computing

机译:一种基于双用户资源分配的双用户资源分配方法

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Mobile edge computing (MEC), as an emerging technique, brings computing resource near to the user end, and thus offers prompt and high-bandwidth service. In MEC, edge servers typically provide their limited computing resource to an appropriate set of users and expect to be rewarded for that, while users pay for the service. In this paper, We utilize the network economics to solve the problem of resource allocation in MEC to maximize system efficiency. We consider a multi-user and multi-server scenario with locality-awareness, i.e., an edge server can only serve multiple MDs in the vicinity, and propose a single-round double auction scheme based on breakeven in MEC (SDAB), which is proved to be individual rationality and truthful. The simulation results indicate that SDAB can significantly improve the system efficiency of MEC as compared with the existing works, while maintaining the economic property of budget balance.
机译:移动边缘计算(MEC)作为新兴技术,将靠近用户端的计算资源带来,从而提供提示和高带宽服务。在MEC中,边缘服务器通常为其有限的计算资源提供给适当的用户集,并期望为此获得奖励,而用户则支付服务。在本文中,我们利用网络经济学来解决MEC资源分配问题,以最大限度地提高系统效率。我们考虑一个多用户和多服务器场景,具有局部性意识,即边缘服务器只能在附近提供多个MD,并提出基于MEC(SDAB)的Breakeven(SDAB)的单轮双拍卖方案。被证明是个人理性和真实的。仿真结果表明,与现有工程相比,SDAB可以显着提高MEC的系统效率,同时保持预算平衡的经济财产。

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