Edge Computing in 5G: A Review

5G is the next generation cellular network that aspires to achieve substantial improvement on quality of service, such as higher throughput and lower latency. Edge computing is an emerging technology that enables the evolution to 5G by bringing cloud capabilities near to the end users (or user equip...

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Main Authors: Najmul Hassan, Kok-Lim Alvin Yau, Celimuge Wu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8821283/
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author Najmul Hassan
Kok-Lim Alvin Yau
Celimuge Wu
author_facet Najmul Hassan
Kok-Lim Alvin Yau
Celimuge Wu
author_sort Najmul Hassan
collection DOAJ
description 5G is the next generation cellular network that aspires to achieve substantial improvement on quality of service, such as higher throughput and lower latency. Edge computing is an emerging technology that enables the evolution to 5G by bringing cloud capabilities near to the end users (or user equipment, UEs) in order to overcome the intrinsic problems of the traditional cloud, such as high latency and the lack of security. In this paper, we establish a taxonomy of edge computing in 5G, which gives an overview of existing state-of-the-art solutions of edge computing in 5G on the basis of objectives, computational platforms, attributes, 5G functions, performance measures, and roles. We also present other important aspects, including the key requirements for its successful deployment in 5G and the applications of edge computing in 5G. Then, we explore, highlight, and categorize recent advancements in edge computing for 5G. By doing so, we reveal the salient features of different edge computing paradigms for 5G. Finally, open research issues are outlined.
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spelling doaj.art-dac2faf515c047cea2d85d492f28a0432022-12-21T18:11:12ZengIEEEIEEE Access2169-35362019-01-01712727612728910.1109/ACCESS.2019.29385348821283Edge Computing in 5G: A ReviewNajmul Hassan0https://orcid.org/0000-0002-4432-1127Kok-Lim Alvin Yau1https://orcid.org/0000-0003-3110-2782Celimuge Wu2https://orcid.org/0000-0001-6853-5878Department of Computing and Information Systems, Sunway University, Bandar Sunway, MalaysiaDepartment of Computing and Information Systems, Sunway University, Bandar Sunway, MalaysiaGraduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan5G is the next generation cellular network that aspires to achieve substantial improvement on quality of service, such as higher throughput and lower latency. Edge computing is an emerging technology that enables the evolution to 5G by bringing cloud capabilities near to the end users (or user equipment, UEs) in order to overcome the intrinsic problems of the traditional cloud, such as high latency and the lack of security. In this paper, we establish a taxonomy of edge computing in 5G, which gives an overview of existing state-of-the-art solutions of edge computing in 5G on the basis of objectives, computational platforms, attributes, 5G functions, performance measures, and roles. We also present other important aspects, including the key requirements for its successful deployment in 5G and the applications of edge computing in 5G. Then, we explore, highlight, and categorize recent advancements in edge computing for 5G. By doing so, we reveal the salient features of different edge computing paradigms for 5G. Finally, open research issues are outlined.https://ieeexplore.ieee.org/document/8821283/5Gcloud computingedge computingfog computing
spellingShingle Najmul Hassan
Kok-Lim Alvin Yau
Celimuge Wu
Edge Computing in 5G: A Review
IEEE Access
5G
cloud computing
edge computing
fog computing
title Edge Computing in 5G: A Review
title_full Edge Computing in 5G: A Review
title_fullStr Edge Computing in 5G: A Review
title_full_unstemmed Edge Computing in 5G: A Review
title_short Edge Computing in 5G: A Review
title_sort edge computing in 5g a review
topic 5G
cloud computing
edge computing
fog computing
url https://ieeexplore.ieee.org/document/8821283/
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