DocumentCode
1296640
Title
Downloader-Initiated Random Linear Network Coding for Peer-to-Peer File Sharing
Author
Wang, Nan ; Ansari, Nirwan
Author_Institution
New Jersey Inst. of Technol., Newark, NJ, USA
Volume
5
Issue
1
fYear
2011
fDate
3/1/2011 12:00:00 AM
Firstpage
61
Lastpage
69
Abstract
Network coding has recently drawn tremendous attention. Applying network coding to Peer-to-Peer (P2P) file sharing is still a relatively new area of study. Adopting network coding in a P2P file sharing network can make data distribution more effective and relieve the burden of the original seeder. In this paper, we first provide the mathematical analysis modeled from contemporary P2P file sharing protocols to analyze the efficiency of network coding in P2P file sharing networks. Then, we further investigate the “unlucky combination” problem encountered by the traditional random linear network coding algorithm when applied to a P2P file sharing network. Hence, we propose a “Downloader-Initiated Random Linear Network Coding” algorithm, which lets the downloader determine the random linear coding to eliminate the “unlucky combination” problem, and therefore further improves the performance of P2P file sharing networks.
Keywords
linear codes; mathematical analysis; network coding; peer-to-peer computing; random codes; P2P file sharing network; P2P file sharing protocol; data distribution; downloader-initiated random linear network coding; mathematical analysis; peer-to-peer file sharing; unlucky combination problem; File sharing; P2P; network coding;
fLanguage
English
Journal_Title
Systems Journal, IEEE
Publisher
ieee
ISSN
1932-8184
Type
jour
DOI
10.1109/JSYST.2010.2063377
Filename
5549950
Link To Document