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An enhanced parallel downloading algorithm for BT

Li, Ke, Zhou, Wanlei and Yu, Shui 2007, An enhanced parallel downloading algorithm for BT, in PDPTA 2007 : Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2007, Las Vegas, Nevada, USA, June 25-28, 2007, CSREA press, Athens, Ga, pp. 1023-1027.

Document type: Conference Paper
Collection: School of Engineering and Information Technology
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Title An enhanced parallel downloading algorithm for BT
Author(s) Li, Ke
Zhou, Wanlei
Yu, Shui
Conference name International Conference on Parallel and Distributed Processing Techniques and Applications (2007 : Las Vegas, Nevada)
Conference location Las Vegas, Nevada, USA
Conference dates June 25-28 2007
Title of proceedings PDPTA 2007 : Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2007, Las Vegas, Nevada, USA, June 25-28, 2007
Editor(s) Arabnia, Hamid R.
Publication date 2007
Conference series Parallel and Distributed Processing Techniques and Applications Conference
Start page 1023
End page 1027
Publisher CSREA press
Place of publication Athens, Ga
Keyword(s) BitTorrent
P2P
redundant network
Summary BitTorrent (or BT) is a P2P based popular and convenient parallel downloading software tool. In this paper, we study the downloading mechanism of BitTorrent, point out some of its limitations, and propose an algorithm to improve its performance. Two major limitations of BitTorrent are, first its downloading speed is slow at the beginning of a downloading or when there is only a few clients. Second, current algorithms cannot achieve the best
parallel downloading degree as the selection of sub-pieces is random, and a file may not be downloaded when the file provider leaves the network unexpectedly. In this paper we address these problems by using neighbours in P2P networks to resolve the redundant copies and to optimise the download speed. Our preliminary experiments show that the proposed enhancement algorithm works well.
ISBN 1601320205
9781601320209
1601320213
9781601320216
Language eng
Field of Research 100503 Computer Communications Networks
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©Reproduced with the specific permission of the copyright owner.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30008191
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