Modeling file-sharing with BitTorrent-like incentives

George Kesidis; Panagiotis Takis Konstantopoulos; Perla Sousi

doi:10.1109/ICASSP.2007.367324

Modeling file-sharing with BitTorrent-like incentives

George Kesidis
, Panagiotis Takis Konstantopoulos
, Perla Sousi

School of Mathematical & Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

We propose a new model for file-sharing peer-to-peer (P2P) networks that mimics the incentives provided by the popular BitTorrent system. In it, larger files are split into chunks and a peer can download or swap only one chunk at a time. We propose a Markov chain model in continuous time that resembles a stochastic epidemic/coagulation model. We prove that the Markov chain is approximated by a differential equation which, by itself, can give some rough information about the performance of the system. Finally, using this model, we explore the performance of BitTorrent-like incentives for an open system with peer departures and arrivals and a single file (torrent) with two chunks. © 2007 IEEE.

Original language	English
Title of host publication	2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Pages	IV1333-IV1336
Volume	4
DOIs	https://doi.org/10.1109/ICASSP.2007.367324
Publication status	Published - 2007
Event	32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007 - Honolulu Duration: 15 Apr 2007 → 20 Apr 2007

Conference

Conference	32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007
Abbreviated title	ICASSP 2007
City	Honolulu
Period	15/04/07 → 20/04/07

Keywords

Internet
Internetworking

Access to Document

10.1109/ICASSP.2007.367324

Cite this

@inproceedings{8090718d203c4785b9be4dddd364cdeb,

title = "Modeling file-sharing with BitTorrent-like incentives",

abstract = "We propose a new model for file-sharing peer-to-peer (P2P) networks that mimics the incentives provided by the popular BitTorrent system. In it, larger files are split into chunks and a peer can download or swap only one chunk at a time. We propose a Markov chain model in continuous time that resembles a stochastic epidemic/coagulation model. We prove that the Markov chain is approximated by a differential equation which, by itself, can give some rough information about the performance of the system. Finally, using this model, we explore the performance of BitTorrent-like incentives for an open system with peer departures and arrivals and a single file (torrent) with two chunks. {\textcopyright} 2007 IEEE.",

keywords = "Internet, Internetworking",

author = "George Kesidis and Konstantopoulos, \{Panagiotis Takis\} and Perla Sousi",

year = "2007",

doi = "10.1109/ICASSP.2007.367324",

language = "English",

isbn = "1424407281",

volume = "4",

pages = "IV1333--IV1336",

booktitle = "2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07",

note = "32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007, ICASSP 2007 ; Conference date: 15-04-2007 Through 20-04-2007",

}

Kesidis, G, Konstantopoulos, PT & Sousi, P 2007, Modeling file-sharing with BitTorrent-like incentives. in 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07. vol. 4, pp. IV1333-IV1336, 32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007, Honolulu, 15/04/07. https://doi.org/10.1109/ICASSP.2007.367324

TY - GEN

T1 - Modeling file-sharing with BitTorrent-like incentives

AU - Kesidis, George

AU - Konstantopoulos, Panagiotis Takis

AU - Sousi, Perla

PY - 2007

Y1 - 2007

N2 - We propose a new model for file-sharing peer-to-peer (P2P) networks that mimics the incentives provided by the popular BitTorrent system. In it, larger files are split into chunks and a peer can download or swap only one chunk at a time. We propose a Markov chain model in continuous time that resembles a stochastic epidemic/coagulation model. We prove that the Markov chain is approximated by a differential equation which, by itself, can give some rough information about the performance of the system. Finally, using this model, we explore the performance of BitTorrent-like incentives for an open system with peer departures and arrivals and a single file (torrent) with two chunks. © 2007 IEEE.

AB - We propose a new model for file-sharing peer-to-peer (P2P) networks that mimics the incentives provided by the popular BitTorrent system. In it, larger files are split into chunks and a peer can download or swap only one chunk at a time. We propose a Markov chain model in continuous time that resembles a stochastic epidemic/coagulation model. We prove that the Markov chain is approximated by a differential equation which, by itself, can give some rough information about the performance of the system. Finally, using this model, we explore the performance of BitTorrent-like incentives for an open system with peer departures and arrivals and a single file (torrent) with two chunks. © 2007 IEEE.

KW - Internet

KW - Internetworking

UR - https://www.scopus.com/pages/publications/34547517832

U2 - 10.1109/ICASSP.2007.367324

DO - 10.1109/ICASSP.2007.367324

M3 - Conference contribution

SN - 1424407281

SN - 9781424407286

VL - 4

SP - IV1333-IV1336

BT - 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07

T2 - 32nd IEEE International Conference on Acoustics, Speech and Signal Processing 2007

Y2 - 15 April 2007 through 20 April 2007

ER -

Modeling file-sharing with BitTorrent-like incentives

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Keywords

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