Edge computing: Architecture, Applications and Future Perspectives

Marieh Talebkhah, A. Sali, Mohsen Marjani, M. Gordan, S. Hashim, F. Rokhani
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引用次数: 11

Abstract

The fast advancements in the fields of mobile internet and the internet of things (IoT) have caused several serious challenges for the traditional centralized cloud computing like large latency, small spectral efficiency (SE), and incompatible machine type of communication. Aimed at resolving the mentioned issues, several innovative technologies have been developed to shift the functions of the centralized cloud computing to the edge device of the network. Various edge computing techniques based on diverse origins have been established to decline the latency while improving SE, and supporting the massive machine-type communications. The present article offers an overview on three edge computing technologies: mobile edge computing, cloudlets, and fog computing. Specifically, standardizing procedures, principle, architecture, and utility of the mentioned technologies will be addressed. In terms of radio access network, the mobile edge computing difference from the fog computing was described. Features of fog computing radio access networks will be addressed as well. In the end, unsolved issues and future research topics will be discussed.
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边缘计算:架构、应用和未来展望
移动互联网和物联网(IoT)领域的快速发展给传统的集中式云计算带来了延迟大、频谱效率(SE)小、机器类型通信不兼容等严峻挑战。针对上述问题,人们开发了一些创新技术,将集中式云计算的功能转移到网络的边缘设备上。基于不同来源的各种边缘计算技术已经建立,以降低延迟,同时提高SE,并支持大规模的机器类型通信。本文概述了三种边缘计算技术:移动边缘计算、云计算和雾计算。具体地说,将讨论上述技术的标准化过程、原理、体系结构和实用程序。在无线接入网方面,描述了移动边缘计算与雾计算的区别。雾计算无线接入网络的特点也将被讨论。最后对尚未解决的问题和未来的研究课题进行了讨论。
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