DocumentCode :
23069
Title :
Two Blocks Are Enough: On the Feasibility of Using Network Coding to Ameliorate the Content Availability of BitTorrent Swarms
Author :
Qing-Chao Cai ; Kwok-Tung Lo
Author_Institution :
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Kowloon, China
Volume :
24
Issue :
8
fYear :
2013
fDate :
Aug. 2013
Firstpage :
1682
Lastpage :
1694
Abstract :
In this paper, we conduct an in-depth study on the feasibility of using network coding to ameliorate the content availability of BitTorrent swarms. We first perform mathematical analysis on the potential improvement in the content availability and bandwidth utilization induced by two existing network coding schemes. It is found that these two coding schemes either incur a very high coding complexity and disk operation overhead or cannot effectively leverage the potential of improving the content availability. In this regard, we propose a simple sparse network coding scheme in which both the drawbacks mentioned before are precluded. To accommodate the proposed coding scheme into BitTorrent, a new block scheduling algorithm is also developed based on the original rarest-first block scheduling policy of BitTorrent. Through extensive simulations and performance evaluations, we show that the proposed coding scheme is very effective in terms of improving the content availability of BitTorrent swarms when compared with some existing methods.
Keywords :
computer network reliability; mathematical analysis; network coding; peer-to-peer computing; scheduling; BitTorrent swarms; bandwidth utilization; block scheduling algorithm; coding complexity; content availability; disk operation overhead; mathematical analysis; peer-to-peer networks; rarest-first block scheduling policy; sparse network coding scheme; Availability; Bandwidth; Complexity theory; Encoding; Network coding; Peer to peer computing; Vectors; Availability; Bandwidth; BitTorrent; Complexity theory; Encoding; Network coding; Peer to peer computing; Peer-to-peer networks; Vectors; network coding; performance analysis;
fLanguage :
English
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9219
Type :
jour
DOI :
10.1109/TPDS.2012.211
Filename :
6235956
Link To Document :
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