A Recursively-Adjusting Co-allocation scheme with a Cyber-Transformer in Data Grids
Future Generation Computer Systems
BitTorrent: extra-locality P2P approach for grid content distribution networks
Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
Optimal server scheduling in hybrid P2P networks
Performance Evaluation
Optimal download time in a cloud-assisted peer-to-peer video on demand service
INOC'11 Proceedings of the 5th international conference on Network optimization
Bundling practice in BitTorrent: what, how, and why
Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems
Selfish overlay network creation and maintenance
IEEE/ACM Transactions on Networking (TON)
Content availability and bundling in swarming systems
IEEE/ACM Transactions on Networking (TON)
Analysis of distribution time of multiple files in a P2P network
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Previous studies show that more than 85% of the peers have joined multiple torrents in BitTorrent, but theoretical work on multiple files BitTorrent downloading is rare. In this paper, we first consider the scenario of multi-torrent downloading. We present a fluid-model based analysis on the multi-torrent concurrent downloading scheme, which is implicitly adopted in practical applications, and quantitatively compare its performance with an alternative scheme of multi-torrent sequential downloading. We also consider the scenario of multi-file torrent downloading (e.g. multiple files shared within a single torrent), and find that the scheme of multi-file torrent concurrent downloading, which is explicitly engaged in practical applications, is inefficient. A new scheme named collaborative multi-file torrent sequential downloading is proposed, and we show via numerical analysis that the download performance could be improved by collaboration among the peers in different subtorrents. Finally, we propose a self-adaptive mechanism for practically deploying our multi-file torrent downloading scheme in a distributed fashion under situations when correlation among the files and majority peers' behaviors are unknown.