Peer-to-Peer: Harnessing the Power of Disruptive Technologies
Peer-to-Peer: Harnessing the Power of Disruptive Technologies
Dynamic parallel access to replicated content in the internet
IEEE/ACM Transactions on Networking (TON)
Incentives for Sharing in Peer-to-Peer Networks
WELCOM '01 Proceedings of the Second International Workshop on Electronic Commerce
Modeling and performance analysis of BitTorrent-like peer-to-peer networks
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Informed content delivery across adaptive overlay networks
IEEE/ACM Transactions on Networking (TON)
Free Riding on Gnutella Revisited: The Bell Tolls?
IEEE Distributed Systems Online
Parallel Downloading Algorithm for Large-volume File Distribution
PDCAT '05 Proceedings of the Sixth International Conference on Parallel and Distributed Computing Applications and Technologies
Stochastic analysis of file-swarming systems
Performance Evaluation
Seed Scheduling for Peer-to-Peer Networks
NCA '09 Proceedings of the 2009 Eighth IEEE International Symposium on Network Computing and Applications
Evolution of resource reciprocation strategies in P2P networks
IEEE Transactions on Signal Processing
The bittorrent p2p file-sharing system: measurements and analysis
IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
The scalability of swarming peer-to-peer content delivery
NETWORKING'05 Proceedings of the 4th IFIP-TC6 international conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems
Free-riding and whitewashing in peer-to-peer systems
IEEE Journal on Selected Areas in Communications
A performance study of BitTorrent-like peer-to-peer systems
IEEE Journal on Selected Areas in Communications
EnhancedBit: Unleashing the potential of the unchoking policy in the BitTorrent protocol
Journal of Parallel and Distributed Computing
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BitTorrent is a popular peer-to-peer file sharing system and a target file shared through BitTorrent is partitioned into pieces and downloaded from multiple peers in parallel in order to shorten the download process. However, due to peer dynamics in P2P networks, rare pieces may be lost and thus lead to the so-called last piece problem. BitTorrent employs rarest-first piece selection algorithm to deal with this problem, but its efficacy is limited because each peer only has a local view of piece rareness. In this paper, we propose an Interest-Intended Piece Selection (IIPS) algorithm aiming at better alleviating the last piece problem while maintaining stable cooperation between peers. IIPS is named interest intended in that every IIPS peer favors pieces that, if downloaded, would increase the probability of being interesting to its cooperating peers. Simulation results show that IIPS achieves less occurrences of piece loss under tough conditions and slightly outperforms the BitTorrent's rarest-first algorithm in terms of higher piece diversity.