IoT-Based Big Data Storage Systems in Cloud Computing: Perspectives and Challenges

Cai, H; Xu, B; Jiang, L; Vasilakos, AV

IoT-Based Big Data Storage Systems in Cloud Computing: Perspectives and Challenges

Cai, H Xu, B Jiang, L Vasilakos, AV

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Publisher:: Institute of Electrical and Electronics Engineers
Publication Type:: Journal Article
Citation:: IEEE Internet of Things Journal, 2017, 4, (1), pp. 75-87
Issue Date:: 2017-02-01

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Field	Value	Language
dc.contributor.author	Cai, H
dc.contributor.author	Xu, B
dc.contributor.author	Jiang, L
dc.contributor.author	Vasilakos, AV
dc.date.accessioned	2022-08-24T04:13:10Z
dc.date.available	2022-08-24T04:13:10Z
dc.date.issued	2017-02-01
dc.identifier.citation	IEEE Internet of Things Journal, 2017, 4, (1), pp. 75-87
dc.identifier.issn	2327-4662
dc.identifier.issn	2327-4662
dc.identifier.uri	http://hdl.handle.net/10453/160777
dc.description.abstract	Internet of Things (IoT) related applications have emerged as an important field for both engineers and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations especially in cloud computing. This paper first provides a functional framework that identifies the acquisition, management, processing and mining areas of IoT big data, and several associated technical modules are defined and described in terms of their key characteristics and capabilities. Then current research in IoT application is analyzed, moreover, the challenges and opportunities associated with IoT big data research are identified. We also report a study of critical IoT application publications and research topics based on related academic and industry publications. Finally, some open issues and some typical examples are given under the proposed IoT-related research framework.
dc.language	English
dc.publisher	Institute of Electrical and Electronics Engineers
dc.relation.ispartof	IEEE Internet of Things Journal
dc.relation.isbasedon	10.1109/JIOT.2016.2619369
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0805 Distributed Computing, 1005 Communications Technologies
dc.title	IoT-Based Big Data Storage Systems in Cloud Computing: Perspectives and Challenges
dc.type	Journal Article
utslib.citation.volume	4
utslib.for	0805 Distributed Computing
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/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-08-24T04:13:09Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	4
utslib.citation.issue	1

Abstract:

Internet of Things (IoT) related applications have emerged as an important field for both engineers and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations especially in cloud computing. This paper first provides a functional framework that identifies the acquisition, management, processing and mining areas of IoT big data, and several associated technical modules are defined and described in terms of their key characteristics and capabilities. Then current research in IoT application is analyzed, moreover, the challenges and opportunities associated with IoT big data research are identified. We also report a study of critical IoT application publications and research topics based on related academic and industry publications. Finally, some open issues and some typical examples are given under the proposed IoT-related research framework.

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http://hdl.handle.net/10453/160777