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SDN helps volume in Big Data
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (DISCO)ORCID iD: 0000-0001-9866-8209
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (DISCO)ORCID iD: 0000-0001-7734-1653
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (DISCO)ORCID iD: 0000-0001-9194-010X
2018 (English)In: Big Data and Software Defined Networks / [ed] Javid Taheri, London: The Institution of Engineering and Technology , 2018, 1, p. 185-206Chapter in book (Refereed)
Abstract [en]

Both Big Data and SDN are described in detail in previous chapters. This chapter investigates how SDN architecture can leverage its unique features to mitigate the challenges of Big Data volume. Accordingly, first, we provide an overview of Big Data volume, its effects on the underlying network, and mention some potential SDN solutions to address the corresponding challenges. Second, we elaborate more on the network-monitoring, traffic-engineering, and fault-tolerant mechanisms which we believe they may help to address the challenges of Big Data volume. Finally, this chapter is concluded with some open issues.

Place, publisher, year, edition, pages
London: The Institution of Engineering and Technology , 2018, 1. p. 185-206
Keywords [en]
Big Data; software fault tolerance; software defined networking; telecommunication traffic
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-67212DOI: 10.1049/PBPC015E_ch9ISBN: 978-1-78561-304-3 (print)ISBN: 978-1-78561-305-0 (electronic)OAI: oai:DiVA.org:kau-67212DiVA, id: diva2:1202068
Available from: 2018-04-27 Created: 2018-04-27 Last updated: 2018-10-22Bibliographically approved

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Publisher's full texthttp://digital-library.theiet.org/content/books/10.1049/pbpc015e_ch9;jsessionid=4af710hogc0kq.x-iet-live-01

Authority records BETA

Alizadeh Noghani, KyoomarsHernandez Benet, CristianTaheri, Javid

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
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Output format
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