DocumentCode :
1636638
Title :
Modeling Analysis and Improvement for Free-Riding on BitTorrent-like File Sharing Systems
Author :
Yu, Jiadi ; Li, Minglu ; Wu, Jie
Author_Institution :
Shanghai Jiao Tong Univ., Shanghai
fYear :
2007
Firstpage :
53
Lastpage :
53
Abstract :
BitTorrent has emerged as a very popular peer-to- peer file sharing system, which uses an embedded set of incentive mechanisms to encourage contribution and prevent free-riding. However, the capability BitTorrent has of preventing free-riding needs further study. In this paper, we present a fluid model with two different classes of peers to capture the effect of free-riding on BitTorrent-like systems. With the model, we find that BitTorrent´s incentive mechanism is successful in preventing free-riding in a system without seeds, but may not succeed in producing a disincentive for free-riding in a system with a high number of seeds. The reason for this is that BitTorrent does not employ an effective mechanisms for seeds to effectively guard against free-riding. Therefore, we propose a seed bandwidth allocation strategy for the BitTorrent system to reduce the effect of seeds on free-riding. Finally, simulation results are given, which validate what we have found in our analysis and demonstrate the effectiveness of the proposed strategy.
Keywords :
peer-to-peer computing; BitTorrent-like file sharing systems; free riding; incentive mechanism; modeling analysis; peer-to- peer file sharing system; seed bandwidth allocation; Analytical models; Channel allocation; Collaboration; Computational modeling; Computer science; Failure analysis; Internet; Peer to peer computing; Bandwidth Allocation Strategy; BitTorrent; Freeriding; Incentive Mechanism; Modeling.;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Processing Workshops, 2007. ICPPW 2007. International Conference on
Conference_Location :
Xian
ISSN :
1530-2016
Print_ISBN :
0-7695-2934-8
Electronic_ISBN :
1530-2016
Type :
conf
DOI :
10.1109/ICPPW.2007.56
Filename :
4346411
Link To Document :
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