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A Computing Offloading Game for Mobile Devices and Edge Cloud Servers

机译:用于移动设备和边缘云服务器的计算卸载游戏

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摘要

Computing offloading of mobile devices (MDs) through cloud is a greatly effective way to solve the problem of local resource constraints. However, cloud servers are usually located far away from MDs leading to a long response time. To this end, edge cloud servers (ECSs) provide a shorter response time due to being closer to MDs. In this paper, we propose a computing offloading game for MDs and ECSs. We prove the existence of a Stackelberg equilibrium in the game. In addition, we propose two algorithms, F-SGA and C-SGA, for delay-sensitive and compute-intensive applications, respectively. Moreover, the response time is reduced by F-SGA, which makes decisions quickly. An optimal decision is obtained by C-SGA, which achieves the equilibrium. Both algorithms above proposed can adjust the computing resource and utility of system users according to parameters control in computing offloading. The simulation results show that the game significantly saves the computing resources and response time of both the MD and the ECSs during the computing offloading process.
机译:通过云计算移动设备(MDS)的卸载是解决本地资源约束问题的大有效方法。但是,云服务器通常远离MDS导致长响应时间。为此,边缘云服务器(ECS)由于更靠近MD而提供更短的响应时间。在本文中,我们为MDS和ECS提出了一个计算卸载游戏。我们证明了比赛中的Stackelberg均衡的存在。此外,我们提出了两种算法,F-SGA和C-SGA,分别用于延时敏感和计算密集型应用。此外,F-SGA还减少了响应时间,这使得迅速做出决策。 C-SGA获得最佳决策,该C-SGA实现了均衡。上面提议的这两个算法都可以根据计算卸载中的参数控制调整系统用户的计算资源和实用程序。仿真结果表明,游戏在计算卸载过程中显着地节省了MD和ECS的计算资源和响应时间。

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