Empirically derived analytic models of wide-area TCP connections
IEEE/ACM Transactions on Networking (TON)
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Estimating the heavy tail index from scaling properties
Methodology and Computing in Applied Probability
Improving Traffic Locality in BitTorrent via Biased Neighbor Selection
ICDCS '06 Proceedings of the 26th IEEE International Conference on Distributed Computing Systems
Traffic and Performance Engineering for Heterogeneous Networks
Traffic and Performance Engineering for Heterogeneous Networks
The bittorrent p2p file-sharing system: measurements and analysis
IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
Ego network models for Future Internet social networking environments
Computer Communications
| Hi-index | 0.24 |
The paper reports on a detailed study of the BitTorrent content distribution system. We first present a measurement infrastructure designed to allow detailed, message-level capture and analysis of P2P traffic. An associated modeling methodology is presented as well. These tools have been used to measure and model the BitTorrent protocol, which is observed to exhibit exponential characteristics of session interarrival times. We also observe that session durations and sizes are modeled with a log-normal distribution.