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Peer-to-Peer (P2P) live streaming services are getting more popular as the average link capacity in the Internet becomes greater for end hosts. In order to provide a high quality P2P live streaming service, it is essential to handle user dynamics effectively to mitigate streaming disruptions caused by user churn. The authors collect massive user traces from the largest P2P live streaming site in Korea, namely, Afreeca. Based on the trace results obtained, they analyze user dynamics in the service. In particular, the authors analyze the user behaviors in terms of three criteria: long-stay users, short-stay users, and user churn.
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