A Software-Defined-Networking-Enabled Approach for Edge-Cloud Computing in the Internet of Things

Dai, M; Su, Z; Li, R; Yu, S

A Software-Defined-Networking-Enabled Approach for Edge-Cloud Computing in the Internet of Things

Dai, M Su, Z Li, R Yu, S

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Network, 2021, 35, (5), pp. 66-73
Issue Date:: 2021-09-01

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Field	Value	Language
dc.contributor.author	Dai, M
dc.contributor.author	Su, Z
dc.contributor.author	Li, R
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743
dc.date.accessioned	2022-03-14T00:03:11Z
dc.date.available	2022-03-14T00:03:11Z
dc.date.issued	2021-09-01
dc.identifier.citation	IEEE Network, 2021, 35, (5), pp. 66-73
dc.identifier.issn	0890-8044
dc.identifier.issn	1558-156X
dc.identifier.uri	http://hdl.handle.net/10453/155190
dc.description.abstract	The proliferation of smart devices has led to a huge amount of data streaming in the Internet of Things (IoT). However, the resource-limited devices cannot satisfy the demands of computing-in-tensive but delay-sensitive applications. The data delivery among devices may be tampered with by malicious users. These pose new challenges to provide secure and intelligent services in IoT. Blockchain and reinforcement learning (RL) are promising techniques for establishing a secure environment and intelligent resource management. In this article, we introduce a novel software defined networking (SDN)-enabled architecture for edge-cloud orchestrated computing to support secure and intelligent services in IoT. We first introduce the SDN-enabled architecture by integrating cloud computing, edge computing, and IoT networks. Then we provide several applications of SDN-enabled architecture in edge-cloud orchestrated computing. Next, we propose the blockchain and RL envisioned solutions to implement secure and intelligent services in IoT. Moreover, a case study of blockchain- and RL-enabled secure and intelligent computing offloading is presented to validate its effectiveness. We finally provide our conclusion and discuss several promising research directions.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Network
dc.relation.isbasedon	10.1109/MNET.101.2100052
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering
dc.subject.classification	Networking & Telecommunications
dc.title	A Software-Defined-Networking-Enabled Approach for Edge-Cloud Computing in the Internet of Things
dc.type	Journal Article
utslib.citation.volume	35
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
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/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2022-03-14T00:03:09Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	35
utslib.citation.issue	5

Abstract:

The proliferation of smart devices has led to a huge amount of data streaming in the Internet of Things (IoT). However, the resource-limited devices cannot satisfy the demands of computing-in-tensive but delay-sensitive applications. The data delivery among devices may be tampered with by malicious users. These pose new challenges to provide secure and intelligent services in IoT. Blockchain and reinforcement learning (RL) are promising techniques for establishing a secure environment and intelligent resource management. In this article, we introduce a novel software defined networking (SDN)-enabled architecture for edge-cloud orchestrated computing to support secure and intelligent services in IoT. We first introduce the SDN-enabled architecture by integrating cloud computing, edge computing, and IoT networks. Then we provide several applications of SDN-enabled architecture in edge-cloud orchestrated computing. Next, we propose the blockchain and RL envisioned solutions to implement secure and intelligent services in IoT. Moreover, a case study of blockchain- and RL-enabled secure and intelligent computing offloading is presented to validate its effectiveness. We finally provide our conclusion and discuss several promising research directions.

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http://hdl.handle.net/10453/155190