On inferring autonomous system relationships in the internet
IEEE/ACM Transactions on Networking (TON)
Improving Traffic Locality in BitTorrent via Biased Neighbor Selection
ICDCS '06 Proceedings of the 26th IEEE International Conference on Distributed Computing Systems
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
AS relationships: inference and validation
ACM SIGCOMM Computer Communication Review
Measurements, analysis, and modeling of BitTorrent-like systems
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
P4p: provider portal for applications
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Taming the torrent: a practical approach to reducing cross-isp traffic in peer-to-peer systems
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
An efficient algorithm for AS path inferring
Proceedings of the 2009 International Conference on Hybrid Information Technology
Pushing BitTorrent locality to the limit
Computer Networks: The International Journal of Computer and Telecommunications Networking
Characterization of BitTorrent swarms and their distribution in the Internet
Computer Networks: The International Journal of Computer and Telecommunications Networking
Unraveling the BitTorrent Ecosystem
IEEE Transactions on Parallel and Distributed Systems
Mitigating unfairness in locality-aware peer-to-peer networks
International Journal of Network Management
The bittorrent p2p file-sharing system: measurements and analysis
IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
Caching for BitTorrent-like P2P systems: a simple fluid model and its implications
IEEE/ACM Transactions on Networking (TON)
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BitTorrent-based peer-to-peer networks constitute a significant share of Internet traffic. Therefore, the IETF working group on application layer traffic optimization (ALTO) discusses several approaches for guiding the BitTorrent traffic that aim at reducing the large amount of inter-ISP traffic costs caused by these networks. However, performance evaluations of these approaches are mostly limited to artificial scenarios that do not take into account the real Internet topology with its inter-ISP relationships and the actual distribution of BitTorrent users across autonomous systems (AS). In this study, we use measurements of the distribution of a large number of live BitTorrent networks and combine them with the AS-level Internet topology provided by Caida.org. Based on this data, we estimate in which tier of the Internet hierarchy BitTorrent traffic is mainly located and how much optimization potential exists for the different types of ISPs. Therewith, traffic flow and revenue implications of guiding Internet-wide BitTorrent swarms are analyzed. Our results show that tier-1 ISPs profit from the un-managed exchange of peer-to-peer traffic and that these profits significantly decrease when the other ISPs would apply ALTO solutions.