Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The role of big data analytics in Internet of Things
The Centre for Mobile Cloud Computing Research, Faculty of Computer Science and Information Technology, University of Malaya.
The Centre for Mobile Cloud Computing Research, Faculty of Computer Science and Information Technology, University of Malaya.
The Centre for Mobile Cloud Computing Research, Faculty of Computer Science and Information Technology, University of Malaya.
Schneider Electric Industries, Grenoble.
Show others and affiliations
2017 (English)In: Computer Networks, ISSN 1389-1286, E-ISSN 1872-7069Article in journal (Refereed) Epub ahead of print
Abstract [en]

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.

Place, publisher, year, edition, pages
Elsevier, 2017.
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-64660DOI: 10.1016/j.comnet.2017.06.013OAI: oai:DiVA.org:ltu-64660DiVA: diva2:1118022
Available from: 2017-06-29 Created: 2017-06-29 Last updated: 2017-06-29

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Vasilakos, Athanasios
By organisation
Computer Science
In the same journal
Computer Networks
Media and Communication Technology

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 189 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf