Towards Edge Computing for 6G Internet of Everything: Challenges and Opportunities

A. Alawadhi, Abdullah Almogahed, E. Azrag
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引用次数: 2

Abstract

The Internet of Everything (IoE)-based smart services are becoming more prominent as a result of the growing demands placed on wireless networks. Despite 5G having the ability to serve a wide range of IoE-based applications, they are unable to fully satisfy the needs of the newest intelligent systems. Therefore, 6G is the next generation for the IoT, IoE, and cellular networks, which aim to significantly improve smart services quality, such as maximum throughput and reduced latency. The number of internet-connected smart devices grows exponentially on a daily basis, resulting in Big Data. Several other cloud-based implementations use data centers as centralized servers for handling data collected by edge devices. This model places ever-increasing demands on computational infrastructure and communication, with unavoidable consequences for Experience and Quality-of-Service. By attempting to obtain cloud abilities closer to end users, edge computing is a novel technology which enables the development for 6G by attempting to overcome typical cloud weaknesses such as high latency and a lack of security. The purpose of this paper is to discuss challenges and opportunities in edge computing technology in 6G IoE.
面向6G万物互联的边缘计算:挑战与机遇
由于对无线网络的需求不断增长,基于万物互联(IoE)的智能服务变得更加突出。尽管5G有能力服务于广泛的基于ai的应用,但它们无法完全满足最新智能系统的需求。因此,6G是IoT、IoE和蜂窝网络的下一代,旨在显著提高智能服务质量,如最大吞吐量和降低延迟。联网智能设备的数量每天呈指数级增长,从而产生了大数据。其他几种基于云的实现使用数据中心作为集中式服务器来处理边缘设备收集的数据。这种模式对计算基础设施和通信提出了不断增长的要求,对体验和服务质量产生了不可避免的影响。通过尝试获得更接近最终用户的云能力,边缘计算是一种新颖的技术,它通过尝试克服典型的云弱点(如高延迟和缺乏安全性)来实现6G的开发。本文的目的是讨论6G IoE中边缘计算技术的挑战和机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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