A Novel Mobile Edge Network Architecture with Joint Caching-Delivering and Horizontal Cooperation

Saputra, Y; Dinh, H; Nguyen, D; Dutkiewicz, E

A Novel Mobile Edge Network Architecture with Joint Caching-Delivering and Horizontal Cooperation

Saputra, Y

Dinh, H

Nguyen, D

Dutkiewicz, E

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Publisher:: Institute of Electrical and Electronics Engineers
Publication Type:: Journal Article
Citation:: IEEE Transactions on Mobile Computing, 2020
Issue Date:: 2020

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Field	Value	Language
dc.contributor.author	Saputra, Y https://orcid.org/0000-0001-8862-2004
dc.contributor.author	Dinh, H https://orcid.org/0000-0002-9528-0863
dc.contributor.author	Nguyen, D https://orcid.org/0000-0003-2659-8648
dc.contributor.author	Dutkiewicz, E https://orcid.org/0000-0002-4268-9286
dc.date.accessioned	2020-10-18T20:49:59Z
dc.date.available	2020-10-18T20:49:59Z
dc.date.issued	2020
dc.identifier.citation	IEEE Transactions on Mobile Computing, 2020
dc.identifier.issn	1536-1233
dc.identifier.uri	http://hdl.handle.net/10453/143351
dc.description.abstract	Mobile edge caching/computing has been emerging as a promising paradigm to provide new services (e.g., ultra-high rate, ultra-reliable, and/or low-latency communications) in future wireless networks. In this paper, we introduce a novel mobile edge caching network architecture that leverages the optimal joint caching-delivering with horizontal cooperation among mobile edge nodes (MENs), namely JOCAD. Under this architecture, MENs cooperate with each other in both caching and delivering contents, aiming to simultaneously minimize the total average delay for the mobile users and mitigate the network traffic on the backhaul link. Extensive simulations demonstrate that the proposed solutions can reduce the total average delay for the whole network up to 40% compared with the most frequency-of-access policy, and up to 25% compared with locally optimal caching policy (i.e., without collaboration). Furthermore, the proposed solutions also increase the cache hit ratio for the network up to 4 times, thereby dramatically reducing the traffic load on the backhaul network.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers
dc.relation.ispartof	IEEE Transactions on Mobile Computing
dc.relation.isbasedon	10.1109/TMC.2019.2938510
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	Networking & Telecommunications
dc.title	A Novel Mobile Edge Network Architecture with Joint Caching-Delivering and Horizontal Cooperation
dc.type	Journal Article
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
utslib.copyright.embargo	2022-12-31T00:00:00+1000Z
dc.date.updated	2020-10-18T20:49:52Z
pubs.publication-status	Accepted

Abstract:

Mobile edge caching/computing has been emerging as a promising paradigm to provide new services (e.g., ultra-high rate, ultra-reliable, and/or low-latency communications) in future wireless networks. In this paper, we introduce a novel mobile edge caching network architecture that leverages the optimal joint caching-delivering with horizontal cooperation among mobile edge nodes (MENs), namely JOCAD. Under this architecture, MENs cooperate with each other in both caching and delivering contents, aiming to simultaneously minimize the total average delay for the mobile users and mitigate the network traffic on the backhaul link. Extensive simulations demonstrate that the proposed solutions can reduce the total average delay for the whole network up to 40% compared with the most frequency-of-access policy, and up to 25% compared with locally optimal caching policy (i.e., without collaboration). Furthermore, the proposed solutions also increase the cache hit ratio for the network up to 4 times, thereby dramatically reducing the traffic load on the backhaul network.

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http://hdl.handle.net/10453/143351