Analyzing peer-to-peer traffic across large networks
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Measurement, modeling, and analysis of a peer-to-peer file-sharing workload
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Accurate, scalable in-network identification of p2p traffic using application signatures
Proceedings of the 13th international conference on World Wide Web
A methodology for P2P traffic measurement using application signature work-in-progress
Proceedings of the 2nd international conference on Scalable information systems
Measuring Mobile Peer-to-Peer Usage: Case Finland 2007
PAM '09 Proceedings of the 10th International Conference on Passive and Active Network Measurement
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Applications based on peer-to-peer (P2P) protocols have become tremendously popular over the last few years, now accounting for a significant share of the total network traffic. To avoid restrictions imposed by network administrators for various reasons, the protocols used have become more sophisticated and employ various techniques to avoid detection and recognition with standard measurement tools. In this paper, we describe a measurement approach based on application level signatures, which reliably detects and measures P2P traffic for these protocols and which is also easily adaptable to the new P2P protocols that now frequently appear. A presentation of the results from a successful field test in a large university network indicates that this approach is not only accurate, but also provides the performance and scalability required for practical applications.