DRIVE:面向物联网中全集成5G环境的发现服务

P. Bellavista, L. Foschini, Domenico Scotece, Kyriaki Karypidou, P. Chatzimisios
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引用次数: 0

摘要

人们对物联网(IoT)进行了大量的研究,在接下来的几年里,它将越来越多地出现在我们的生活中。此外,随着未来全集成5G网络的出现,需要满足超可靠性和低延迟等新限制。借助雾计算和多接入边缘计算(MEC)框架,可以快速实用地为最终用户提供服务。我们的工作为DRIVE提供了一个5G环境下的服务发现框架。然而,为了保证服务的动态分布和最佳管理,我们计划将这些服务部署为容器(例如Docker容器)。此外,我们建议将边缘服务分布在三个不同的通信层:应用层、服务层和通信层。考虑到上述考虑,我们提出一个边缘节点,放置在网络的边缘,充当“大脑”并接管计算。与现有文献相比,所提出框架的主要创新元素包括选择工作层的可能性,边缘节点的动态重新配置以及我们的解决方案在资源有限的边缘节点(如树莓派设备)的快速部署环境中实现的性能的现场实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DRIVE: Discovery seRvice for fully-Integrated 5G enVironmEnt in the IoT
A lot of research is being carried out about Internet of Things (IoT) and in the following years it will emerge more and more in our lives. Furthermore, with the advent of future fully-integrated 5G networks, new constraints need to be satisfied such as ultra-reliability and low-latency. With the help of Fog computing and the Multi-access Edge Computing (MEC) framework, services can be offered to the end users in a fast and practical way. Our work presents DRIVE a framework for service discovery in a 5G environment. However, in order to guarantee dynamic distribution and best management of services, we plan to deploy those services as container (e.g. Docker container). Moreover, we propose distribution of edge services at three different layer of communication: Application, Service, and Communication Layer. Given the above considerations, we propose an edge node, placed at the edge of network, that acts as the "brain" and take over the computation. The main innovative elements of the proposed framework, compared to the existing literature, include the possibility to select the working layer, the dynamic reconfiguration of the edge node and the field experimental results about the performance achieved by our solution over rapidly deployable environments with resourcelimited edge nodes such as Raspberry Pi devices.
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