Improving Traffic Locality in BitTorrent via Biased Neighbor Selection

By Ruchir Bindal, Pei Cao, William Chan, Jan Medved, G. Suwala, T. Bates, Amy Zhang. IEEE International Conference on Distributed Computing Systems, 2006

445 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/fb349e5909837ee672113f4ffb19f310e8c2a28c

How researchers see this paper

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

In Artificial Intelligence

1. Arvind Krishnamurthy
2. David R. Choffnes
3. Margo I. Seltzer
4. Cynthia Rudin

In Computer Networks and Communications

1. Arvind Krishnamurthy
2. David R. Choffnes
3. A. Silberschatz
4. Margo I. Seltzer
5. Jonathan Ledlie
6. Paul Gardner
7. Yanbin Grace Liu
8. Fabian E. Bustamante

Citations in the corpus

• P4p: provider portal for applications (2008, methodology): “We follow the approach taken in [4] and compute TCP throughput assuming that TCP sessions share link capacities achieving maxmin fairness in the steady state.”
• Network Coordinates in the Wild (2007, background): “Bindal et al. show in simulation how these locally-biased swarms reduce download times and inter-ISP traffic [3].”
• Taming the torrent: a practical approach to reducing cross-isp traffic in peer-to-peer systems (2008, background): “Unlike previous oracle-based proposals [3, 8], our CDN-based approach does not require new infrastructure and does not depend on cooperation between ISPs and their subscribers.”