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Large Scale Characterisation of YouTube Requests in a Cellular Network
RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.ORCID iD: 0000-0001-7866-143X
RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.
Number of Authors: 2
2014 (English)Conference paper, (Refereed)
Abstract [en]

Traffic from wireless and mobile devices is expected to soon exceed traffic from fixed devices. Understanding the behaviour of users on mobile devices is important in order to improve the offered services and the provision of the underlying network. Globally, more than 60% of consumer Internet traffic is estimated to be video traffic, and the most popular video website, YouTube, estimates that mobile access makes up nearly 40% of the global watch time. This paper presents the first work to study the characteristics of YouTube user requests on a nationwide cellular network. This study is based on the analysis of a large dataset generated by 3 million users and collected by a major telecom operator. We show for instance that 20% of the users generate 78% of the requests, and that over 80% of the requests target only 20% of the distinct videos accessed during the data collection period. Our results provide a comprehensive insight into the way people use YouTube on mobile devices, and show a very high potential for video cacheability on the cellular network.

Place, publisher, year, edition, pages
2014, 8.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-24340OAI: oai:DiVA.org:ri-24340DiVA: diva2:1043420
Conference
IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2014)
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2017-04-07Bibliographically approved

Open Access in DiVA

fulltext(445 kB)100 downloads
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Ben Abdesslem, Fehmi
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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