The role of big data analytics in Internet of Things

Ahmed, E; Yaqoob, I; Hashem, IAT; Khan, I; Ahmed, AIA; Imran, M; Vasilakos, AV

The role of big data analytics in Internet of Things

Ahmed, E Yaqoob, I Hashem, IAT Khan, I Ahmed, AIA Imran, M Vasilakos, AV

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Computer Networks, 2017, 129, pp. 459-471
Issue Date:: 2017-12-24

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Field	Value	Language
dc.contributor.author	Ahmed, E
dc.contributor.author	Yaqoob, I
dc.contributor.author	Hashem, IAT
dc.contributor.author	Khan, I
dc.contributor.author	Ahmed, AIA
dc.contributor.author	Imran, M
dc.contributor.author	Vasilakos, AV
dc.date.accessioned	2022-08-23T05:02:19Z
dc.date.available	2022-08-23T05:02:19Z
dc.date.issued	2017-12-24
dc.identifier.citation	Computer Networks, 2017, 129, pp. 459-471
dc.identifier.issn	0169-7552
dc.identifier.issn	1389-1286
dc.identifier.uri	http://hdl.handle.net/10453/160738
dc.description.abstract	The explosive growth in the number of devices connected to the Internet of Things (IoT) and the exponential increase in data consumption only reflect how the growth of big data perfectly overlaps with that of IoT. The management of big data in a continuously expanding network gives rise to non-trivial concerns regarding data collection efficiency, data processing, analytics, and security. To address these concerns, researchers have examined the challenges associated with the successful deployment of IoT. Despite the large number of studies on big data, analytics, and IoT, the convergence of these areas creates several opportunities for flourishing big data and analytics for IoT systems. In this paper, we explore the recent advances in big data analytics for IoT systems as well as the key requirements for managing big data and for enabling analytics in an IoT environment. We taxonomized the literature based on important parameters. We identify the opportunities resulting from the convergence of big data, analytics, and IoT as well as discuss the role of big data analytics in IoT applications. Finally, several open challenges are presented as future research directions.
dc.language	English
dc.publisher	Elsevier
dc.relation.ispartof	Computer Networks
dc.relation.isbasedon	10.1016/j.comnet.2017.06.013
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering, 10 Technology
dc.subject.classification	Networking & Telecommunications
dc.title	The role of big data analytics in Internet of Things
dc.type	Journal Article
utslib.citation.volume	129
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
utslib.for	10 Technology
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	2022-08-23T05:02:17Z
pubs.publication-status	Published
pubs.volume	129

Abstract:

The explosive growth in the number of devices connected to the Internet of Things (IoT) and the exponential increase in data consumption only reflect how the growth of big data perfectly overlaps with that of IoT. The management of big data in a continuously expanding network gives rise to non-trivial concerns regarding data collection efficiency, data processing, analytics, and security. To address these concerns, researchers have examined the challenges associated with the successful deployment of IoT. Despite the large number of studies on big data, analytics, and IoT, the convergence of these areas creates several opportunities for flourishing big data and analytics for IoT systems. In this paper, we explore the recent advances in big data analytics for IoT systems as well as the key requirements for managing big data and for enabling analytics in an IoT environment. We taxonomized the literature based on important parameters. We identify the opportunities resulting from the convergence of big data, analytics, and IoT as well as discuss the role of big data analytics in IoT applications. Finally, several open challenges are presented as future research directions.

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http://hdl.handle.net/10453/160738