Analyzing the performance and fairness of BitTorrent-like networks using a general fluid model

Authors:
Yao Yue;Chuang Lin;Zhangxi Tan
Affiliations:
Department of Computer Science and Technology, Tsinghua University, Beijing, China;Department of Computer Science and Technology, Tsinghua University, Beijing, China;Department of Electronic Engineering and Computer Science, University of California, Berkeley, USA
Venue:
Computer Communications
Year:
2006

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Abstract

In this paper, a general fluid model is developed to study the performance and fairness of BitTorrent-like networks. The fluid model incorporates two important features previously isolated from system performance models, user settings with multiple groups and inter-group data exchange induced by the choking algorithm. Our numerical results point out some key parameters of performance, such as the staying time of seeders. Generally, selfish behavior does not receive equal performance degradation, and in some scenarios users have strong incentives of free-riding. We also find content delivery can be greatly deterred when malicious free-riders are overwhelming.