Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • 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.
Visa övriga samt affilieringar
2017 (Engelska)Ingår i: Computer Networks, ISSN 1389-1286, E-ISSN 1872-7069, Vol. 129, nr 2, s. 459-471Artikel i tidskrift (Refereegranskat) Published
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.

Ort, förlag, år, upplaga, sidor
Elsevier, 2017. Vol. 129, nr 2, s. 459-471
Nationell ämneskategori
Medieteknik
Forskningsämne
Distribuerade datorsystem
Identifikatorer
URN: urn:nbn:se:ltu:diva-64660DOI: 10.1016/j.comnet.2017.06.013ISI: 000418627700013OAI: oai:DiVA.org:ltu-64660DiVA, id: diva2:1118022
Anmärkning

Validerad;2018;Nivå 2;2018-01-16 (andbra)

Tillgänglig från: 2017-06-29 Skapad: 2017-06-29 Senast uppdaterad: 2018-01-16Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltext

Sök vidare i DiVA

Av författaren/redaktören
Vasilakos, Athanasios
Av organisationen
Datavetenskap
I samma tidskrift
Computer Networks
Medieteknik

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 752 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf