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Local View Modeling for ETA in BitTorrent
Author: Piotr Powalowski
Source: Masters thesis, Vrije Universiteit, August 2008.
Abstract
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Most of BitTorrent systems contains implementation of an algorithm
predicting the download time of the torrent. Commonly used Simple
ETA algorithm is known for its vulnerability on download rate
fluctuations and lack of precision. Many authors address the topic
of torrent evolution prediction, but majority of created models focus
on torrent's global parameters or takes unrealistic assumptions and
therefore are unusable in ETA forecast. In this thesis we analyze the
conditions influencing the torrent download and propose the local-view
model for ETA prediction. We analyze the model qualities and validate
it against the real-life torrent traces. We show that created model
improves ETA prediction quality when compared to Simple ETA algorithm.
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Bibtex Entry
@MastersThesis{,
author = {Piotr Powa{\l}owski},
title = {Local View Modeling for {ETA} in {BitTorrent}},
school = {Vrije Universiteit},
address = {Amsterdam, The Netherlands},
year = {2008},
month = aug
}
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gpierre@cs.vu.nl
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