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Proceedings Paper

Characterizing user sessions on YouTube
Author(s): Phillipa Gill; Martin Arlitt; Zongpeng Li; Anirban Mahanti
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Paper Abstract

In this study, we characterize user sessions of the popular multimedia Web 2.0 site, YouTube. We observe YouTube user sessions by making measurements from an edge network perspective. Several characteristics of user sessions are considered, including session duration, inter-transaction times, and the types of content transferred by user sessions. We compare and contrast our results with "traditional" Web user sessions. We found that YouTube users transfer more data and have longer think times than traditional Web workloads. These differences have implications for network capacity planning and design of next generation synthetic Web workloads.

Paper Details

Date Published: 28 January 2008
PDF: 8 pages
Proc. SPIE 6818, Multimedia Computing and Networking 2008, 681806 (28 January 2008); doi: 10.1117/12.775130
Show Author Affiliations
Phillipa Gill, Univ. of Calgary (Canada)
Martin Arlitt, Hewlett-Packard Labs (United States)
Univ. of Calgary (Canada)
Zongpeng Li, Univ. of Calgary (Canada)
Anirban Mahanti, Indian Institute of Technology/Delhi (India)


Published in SPIE Proceedings Vol. 6818:
Multimedia Computing and Networking 2008
Reza Rejaie; Roger Zimmermann, Editor(s)

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