A simple reputation model for BitTorrent-like incentives

Athichart Tangpong; George Kesidis

1st International Conference on Game Theory for Networks

Research Article

A simple reputation model for BitTorrent-like incentives

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/GAMENETS.2009.5137450,
    author={Athichart Tangpong and George Kesidis},
    title={A simple reputation model for BitTorrent-like incentives},
    proceedings={1st International Conference on Game Theory for Networks},
    publisher={IEEE},
    proceedings_a={GAMENETS},
    year={2009},
    month={6},
    keywords={},
    doi={10.1109/GAMENETS.2009.5137450}
}

Athichart Tangpong
George Kesidis
Year: 2009
A simple reputation model for BitTorrent-like incentives
GAMENETS
IEEE
DOI: 10.1109/GAMENETS.2009.5137450

Athichart Tangpong¹^,*, George Kesidis¹^,*

1: CS&E and EE Depts, The Pennsylvania State University, University Park, PA, USA.

*Contact email: axt224@psu.edu, gik2@psu.edu

Abstract

We study how BitTorrent exhibits peer clustering in terms of transaction success rate which is based on allocated uplink bandwidths for the purposes of file-swapping. The effects of optimistic unchoking and dissemination of choke lists are also considered. Under dynamic uplink assignment, similar grouping results based on differences in how users derive utility from transaction success rates. The ldquolimited informationrdquo game requires users periodically assess the effect of a change in uplink. Finally, we conclude with a discussion of how to extend the model to consider the complicating factors such as transient swarm behavior and peer churn.

Published: 2009-06-26
Publisher: IEEE

: http://dx.doi.org/10.1109/GAMENETS.2009.5137450