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.