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Supporting Location Transparent Services in a Mobile Edge Computing Environment

机译:在移动边缘计算环境中支持位置透明服务

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Emerging models such as mobile edge computing provide the necessary characteristics for the deployment of Internet of Things applications by supplying the connected devices with local computing facilities essential for latency sensitive applications. One of the major issues of the underlying edge computing architecture is to cope with the device mobility that imposes dynamically changing network requirements. In this paper, we propose a resource management approach that aims to improve the location transparency and provide high quality of experience for end users by optimising latencies perceived when nodes are accessing services hosted on the edge of the network. By managing the virtualised computing resources based on the node location area information, the main objective of the approach is to minimise the network latency perceived by mobile nodes for both the initial allocation and the dynamic resource migration during the service lifetime while the requester node is changing location areas. The system is trying to achieve the most accurate 'follow me' service where the assigned resources closely follow the current mobile node location. The presented results show the effectiveness of the proposed solution in comparison to traditional resource management techniques on the macro and micro scale.
机译:通过为连接的设备提供对延迟敏感的应用程序必不可少的本地计算工具,诸如移动边缘计算之类的新兴模型为物联网应用程序的部署提供了必要的特性。底层边缘计算体系结构的主要问题之一是应对设备动态性带来的动态变化的网络需求。在本文中,我们提出了一种资源管理方法,旨在通过优化节点访问网络边缘上托管的服务时感知的延迟来提高位置透明度并为最终用户提供高质量的体验。通过基于节点位置区域信息管理虚拟化的计算资源,该方法的主要目标是在请求者节点不断变化的同时,最小化移动节点在服务生命周期中对于初始分配和动态资源迁移所感知的网络延迟。位置区域。系统正在尝试实现最准确的“跟我来”服务,其中分配的资源紧随当前移动节点的位置。提出的结果表明,与传统的宏观和微观资源管理技术相比,该解决方案的有效性。

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