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
Transport layer identification of P2P traffic
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
The impact of residential broadband traffic on Japanese ISP backbones
ACM SIGCOMM Computer Communication Review
The impact and implications of the growth in residential user-to-user traffic
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Characterizing unstructured overlay topologies in modern P2P file-sharing systems
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Should internet service providers fear peer-assisted content distribution?
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Can ISPS and P2P users cooperate for improved performance?
ACM SIGCOMM Computer Communication Review
Legal issues surrounding monitoring during network research
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
On the identification and analysis of p2p traffic aggregation
NETWORKING'06 Proceedings of the 5th international IFIP-TC6 conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems
Analysis of peer-to-peer traffic on ADSL
PAM'05 Proceedings of the 6th international conference on Passive and Active Network Measurement
Will IPTV ride the peer-to-peer stream? [Peer-to-Peer Multimedia Streaming]
IEEE Communications Magazine
Packet-level traffic measurements from the Sprint IP backbone
IEEE Network: The Magazine of Global Internetworking
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Since their emergence peer-to-peer (P2P) applications have been generating a considerable fraction of the overall transferred bandwidth in broadband networks. Residential broadband service has been moving from one geared towards technology enthusiasts and early adopters to a commodity for a large fraction of households. Thus, the question whether P2P is still the dominant application in terms of bandwidth usage becomes highly relevant for broadband operators. In this work we present a method for classifying broadband users into a P2P- and a non-P2P group based on the amount of communication partners ("peers") they have in a dedicated timeframe. Based on this classification, we derive their impact on network characteristics like the number of active users and their aggregate bandwidth. Privacy is assured by anonymization of the data and by not taking into account the packet payloads. We apply our method to real operational data collected from a major German DSL provider's access link which transported all traffic each user generates and receives. We find that P2P users are still large contributors to the total amount of traffic seen. However, in comparison to data collected four years earlier, the impact from P2P on the bandwidth peaks in the busy hours has clearly decreased while other applications have a growing impact. Further analysis also reveals that the P2P users' traffic does not exhibit strong locality. We furthermore compare our findings to those available in the literature and propose areas for future work on network monitoring, P2P applications, and network design.