Proceedings Paper
Characterizing user sessions on YouTube| Format | Member Price | Non-Member Price |
|---|---|---|
| $17.00 | $21.00 |
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
Published in SPIE Proceedings Vol. 6818:
Multimedia Computing and Networking 2008
Reza Rejaie; Roger Zimmermann, Editor(s)
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)
Martin Arlitt, Hewlett-Packard Labs (United States)
Univ. of Calgary (Canada)
Published in SPIE Proceedings Vol. 6818:
Multimedia Computing and Networking 2008
Reza Rejaie; Roger Zimmermann, Editor(s)
© SPIE. Terms of Use
