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Hybrid Method for Minimizing Service Delay in Edge Cloud Computing Through VM Migration and Transmission Power Control

机译:通过虚拟机迁移和传输功率控制将边缘云计算中的服务延迟最小化的混合方法

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Due to physical limitations, mobile devices are restricted in memory, battery, processing, among other characteristics. This results in many applications that cannot be run in such devices. This problem is fixed by Edge Cloud Computing, where the users offload tasks they cannot run to cloudlet servers in the edge of the network. The main requirement of such a system is having a low Service Delay, which would correspond to a high Quality of Service. This paper presents a method for minimizing Service Delay in a scenario with two cloudlet servers. The method has a dual focus on computation and communication elements, controlling Processing Delay through virtual machine migration and improving Transmission Delay with Transmission Power Control. The foundation of the proposal is a mathematical model of the scenario, whose analysis is used on a comparison between the proposed approach and two other conventional methods; these methods have single focus and only make an effort to improve either Transmission Delay or Processing Delay, but not both. As expected, the proposal presents the lowest Service Delay in all study cases, corroborating our conclusion that a dual focus approach is the best way to tackle the Service Delay problem in Edge Cloud Computing.
机译:由于物理限制,移动设备的内存,电池,处理及其他特性受到限制。这导致许多应用程序无法在此类设备中运行。边缘云计算解决了此问题,用户将无法运行的任务卸载到网络边缘的cloudlet服务器。这种系统的主要要求是具有低服务延迟,这将对应于高服务质量。本文提出了一种在具有两个cloudlet服务器的情况下最小化服务延迟的方法。该方法双重关注计算和通信元素,通过虚拟机迁移来控制处理延迟,并通过传输功率控制来改善传输延迟。该提议的基础是情景的数学模型,其分析用于对提议的方法和其他两种常规方法进行比较;这些方法具有单一焦点,并且仅努力改善传输延迟或处理延迟,但不能同时改善两者。正如预期的那样,该提案提出了所有研究案例中最低的服务延迟,从而证实了我们的结论,即双焦点方法是解决边缘云计算中服务延迟问题的最佳方法。

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