Understanding churn in peer-to-peer networks

By Daniel Stutzbach, Reza Rejaie. ACM/SIGCOMM Internet Measurement Conference, 2006

871 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/74879c098d285c5a5b08789bd737b2991fbea178

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Xiaodong Zhang
2. Lei Guo
3. Enhua Tan
4. Gideon Dror
5. Songqing Chen
6. Roberto Perdisci
7. Andrea Lanzi
8. Fabio Roli

Citations in the corpus

• PeerRush: Mining for unwanted P2P traffic (2013, background): “For example, peer churn is an always-present attribute of P2P networks [18], causing P2P hosts to generate a noticeably high number of”
• Churn in Social Networks (2010, background): “Churn in P2P networks effects key design parameters and the resiliency and structure of the overlay network [62].”
• Churn prediction in new users of Yahoo! answers (2012, background): “Other features measure user activity within the specific service, such as minutes-of-use, frequency-of-use and past renewals of service in telecommunications [4, 15], the number of transactions in banking [13] and session length and inter-arrival time in P2P networks [17].”
• Analyzing patterns of user content generation in online social networks (2009, background): “In P2P networks, Stutzbach and Rejaie have also studied the churns caused by user activities [22].”