Optimizing the BitTorrent performance using an adaptive peer selection strategy
Future Generation Computer Systems
Bittorrent is an auction: analyzing and improving bittorrent's incentives
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
ACNS: adaptive complementary neighbor selection in BitTorrent-like applications
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
A bottom-up model for heterogeneous BitTorrent systems
Journal of Parallel and Distributed Computing
| Hi-index | 0.00 |
BitTorrent is one of the most popular protocols for content distribution and accounts for more than 15% of the total Internet traffic. In this paper, we present an analytical model of the protocol. Our work differs from previous works as it models the BitTorrent protocol specifically and not as a general file-swarming protocol. In our study, we observe that to accurately model the download process of a BitTorrent client, we need to split this process into three phases. We validate our model using simulations and realworld traces. Using this model, we study the efficiency of the protocol based on various protocol-specific parameters such as the maximum number of connections and the peer set size. Furthermore, we study the relationship between changes in the system parameters and the stability of the protocol. Our model suggests that the stability of BitTorrent protocol depends heavily on the number of pieces a file is divided into and the arrival rate of clients to the network.