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  5. Driving forces for Multi-Access Edge Computing (MEC) IoT integration in 5G
 
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Driving forces for Multi-Access Edge Computing (MEC) IoT integration in 5G

Author(s)
Liyanage, Madhusanka  
Porambage, Pawani  
Ding, Aaron Yi  
Kalla, Anshuman  
Uri
http://hdl.handle.net/10197/24809
Date Issued
2021-06-07
Date Available
2023-10-17T08:44:59Z
Abstract
The emergence of Multi-Access Edge Computing (MEC) technology aims to extend cloud computing capabilities to the edge of the wireless access networks, i.e., closer to the end-users. Thus, MEC-enabled 5G wireless systems are envisaged to offer real-time, low-latency, and high-bandwidth access to the radio network resources. Thus, MEC allows network operators to open up their networks to a wide range of innovative services, thereby giving rise to a brand-new ecosystem and a value chain. Furthermore, MEC as an enabling technology will provide new insights into coherent integration of Internet of Things (IoT) in 5G wireless systems. In this context, this paper expounds the four key technologies, including Network Function Virtualization (NFV), Software Defined Networking (SDN), Network Slicing and Information Centric Networking (ICN), that will propel and intensify the integration of MEC IoT in 5G networks. Moreover, our goal is to provide the close alliance between MEC and these four driving technologies in the 5G IoT context and to identify the open challenges, future directions, and concrete integration paths.
Sponsorship
European Commission
University College Dublin
Other Sponsorship
Academy of Finland
Type of Material
Journal Article
Publisher
Elsevier
Journal
ICT Express
Volume
7
Issue
2
Start Page
127
End Page
137
Copyright (Published Version)
2021 The Korean Institute of Communications and Information Sciences (KICS)
Subjects

MEC

IoT

5G

SDN

NFV

Network slicing

ICN

DOI
10.1016/j.icte.2021.05.007
Language
English
Status of Item
Peer reviewed
ISSN
2405-9595
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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Four_Tech_MEC___ICT_Express (7).pdf

Size

2.22 MB

Format

Adobe PDF

Checksum (MD5)

cc32a32836226b6ea74b9124fe62b433

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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