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  5. Convergence of ICN and MEC for 5G: Opportunities and Challenges
 
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Convergence of ICN and MEC for 5G: Opportunities and Challenges

Author(s)
Gur, Gurkan  
Porambage, Pawani  
Liyanage, Madhusanka  
Uri
http://hdl.handle.net/10197/25941
Date Issued
2020-12-01
Date Available
2024-05-13T16:08:14Z
Abstract
Information-centric networking (ICN) builds on a content-centric network architecture to overcome the shortcomings of host-centric routing/operation and realize efficient pervasive and ubiquitous networking. Similarly, multi-access edge computing (MEC) is another key technology to fulfill the stringent requirements of 5G to offer anytime-anywhere connected services for massive numbers of devices with ultra-low delay and very large bandwidths. The amalgamation of the ICN paradigm with MEC opens up new opportunities as well some challenges to realize 5G vision and advance beyond 5G systems. The key motivation of this article is to discuss and elaborate the convergence of ICN and MEC for better future networks, and to identify the current standardization efforts. Moreover, the article renders the key use cases and identifies potential research directions with the coexistence of ICN and MEC.
Sponsorship
European Commission Horizon 2020
Other Sponsorship
Scientific and Technical Research Council of Turkey (TUBITAK)
European Union under RESPONSE 5G
The Academy of Finland under 6Genesis Flagship
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Communications Standards Magazine
Volume
4
Issue
4
Start Page
64
End Page
71
Copyright (Published Version)
2020 IEEE
Subjects

Protocols

5G mobile communicati...

Standardization

Delays

Internet

Security

Convergence

DOI
10.1109/MCOMSTD.011.1900045
Language
English
Status of Item
Peer reviewed
ISSN
2471-2825
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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MEC___ICN___IoT__Cam_Ready_.pdf

Size

1021.26 KB

Format

Adobe PDF

Checksum (MD5)

3ea0a1f7681f530d7b25eefcb7ebe14c

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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