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Mobile-edge computing vs. centralized cloud computing in fiber-wireless access networks
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).ORCID iD: 0000-0003-3478-9890
2016 (English)In: Proceedings - IEEE INFOCOM, Institute of Electrical and Electronics Engineers (IEEE), 2016, 991-996 p.Conference paper (Refereed)
Abstract [en]

The advent of Internet of Things and 5G applications renders the need for integration of both centralized cloud computing and emerging mobile-edge computing (MEC) with existing network infrastructures to enhance storage, processing, and caching capabilities in not only centralized but also distributed fashions for supporting both delay-tolerant and mission-critical applications. This paper investigates performance gains of centralized cloud and MEC enabled integrated fiber-wireless (FiWi) access networks. A novel resource management scheme incorporating both centralized cloud and MEC offloading activities into the underlying FiWi dynamic bandwidth allocation process is proposed. An analytical framework is developed to model packet delay, response time efficiency, and gain-offload overhead ratio for both cloud and conventional broadband access traffic. The obtained results demonstrate the feasibility of implementing conventional cloud and MEC in FiWi access networks, while not affecting network performance of broadband access traffic.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. 991-996 p.
Keyword [en]
Cloud computing, Delay tolerant networks, Frequency allocation, Broadband access, Dynamic bandwidth allocation, Fiberwireless (FiWi), Mission critical applications, Network infrastructure, Performance Gain, Resource management schemes, Time efficiencies, Distributed computer systems
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-194862DOI: 10.1109/INFCOMW.2016.7562226ISI: 000389210700190ScopusID: 2-s2.0-84988874441ISBN: 9781467399555 (print)OAI: oai:DiVA.org:kth-194862DiVA: diva2:1054892
Conference
35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016, 10 April 2016 through 14 April 2016
Note

QC 20161209

Available from: 2016-12-09 Created: 2016-11-01 Last updated: 2017-01-23Bibliographically approved

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CiteExportLink to record
Permanent link

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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
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  • asciidoc
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