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Study of YouTube demand patterns in mixed public and campus WiFi network
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2014 (English)In: IWCMC 2014 - 10th International Wireless Communications and Mobile Computing Conference, 2014, p. 635-641Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we study traffic patterns in a large municipal WiFi network and in particular those of the most bandwidth hungry application, viz. YouTube, for which we provide a detailed analysis of demand in different geographical areas and over time. We consider the possibilities to reduce network traffic and increase Quality of Experience (QoE) by serving repeated requests for YouTube videos from caches placed either at the network head end, at the wireless access points, or in the user devices. Our data confirms that a significant part of the YouTube traffic can be served by such devices and that there exists a potential to optimize caching performance by exploiting the content demand locality. We also discover a previously unknown pattern of periodicity in content demand and present a simple example of how to exploit this in cache design

Place, publisher, year, edition, pages
2014. p. 635-641
Keywords [en]
Traffic analysis, wireless networks, Quality of service, Wireless telecommunication systems, Caching performance, Geographical area, Municipal wifi networks, Network traffic, Quality of experience (QoE), Traffic pattern, Wireless access points, Wi-Fi
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-35513DOI: 10.1109/IWCMC.2014.6906430Scopus ID: 2-s2.0-84908621816ISBN: 9781479909599 (print)OAI: oai:DiVA.org:ri-35513DiVA, id: diva2:1263102
Conference
10th International Wireless Communications and Mobile Computing Conference, IWCMC 2014, 4 August 2014 through 8 August 2014
Available from: 2018-11-14 Created: 2018-11-14 Last updated: 2018-11-14Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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Language
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  • en-US
  • fi-FI
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  • Other locale
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Output format
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