poster

How prevalent is content bundling in BitTorrent

Authors:

Yanghee ChoiAuthors Info & Claims

SIGMETRICS '11: Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems

Pages 127 - 128

https://doi.org/10.1145/1993744.1993789

Published: 07 June 2011 Publication History

Get Access

Abstract

Despite the increasing interest in content bundling in BitTorrent systems, there are still few empirical studies on the bundling practice in real BitTorrent communities. In this paper, we conduct comprehensive measurements on one of the largest BitTorrent portals: The Pirate Bay. From the torrents data set collected for 38 days from April to May, 2010, we study how prevalent bundling is and how many files are bundled in a torrent, across different types of contents shared: Movie, Porn, TV, Music, Application, E-book, and Game.

References

[1]

The impact of p2p file sharing, voice over ip, instant messaging, one-click hosting and media streaming on the internet. http://www.ipoque.com/resources/internet-studies/internet-study-2008_2009.

Google Scholar

[2]

The pirate bay. http://thepiratebay.org/.

Google Scholar

[3]

R. Cuevas, M. Kryczka, A. Cuevas, S. Kaune, C. Guerrero, and R. Rejaie. Is content publishing in bittorrent altruistic or profit-driven? In ACM CoNEXT, 2010.

Digital Library

Google Scholar

[4]

N. Lev-tov, N. Carlsson, Z. Li, C. Williamson, and S. Zhang. Dynamic file-selection policies for bundling in bittorrent-like systems. In IEEE IWQOS, 2010.

Google Scholar

[5]

D. S. Menasche, G. Neglia, D. Towsley, and S. Zilberstein. Strategic reasoning about bundling in swarming systems. In IEEE GameNets, 2009.

Digital Library

Google Scholar

[6]

D. S. Menasche, A. A. Rocha, B. Li, D. Towsley, and A. Venkataramani. Content availability and bundling in swarming systems. In ACM CoNEXT, 2009.

Digital Library

Google Scholar

Cited By

View all

Botacin MBertão Gde Geus PGrégio AKruegel CVigna G(2020)On the Security of Application Installers and Online Software RepositoriesDetection of Intrusions and Malware, and Vulnerability Assessment10.1007/978-3-030-52683-2_10(192-214)Online publication date: 7-Jul-2020
https://doi.org/10.1007/978-3-030-52683-2_10
Zhu JIoannidis SHegde NMassoulié L(2018)Stable and scalable universal swarmsDistributed Computing10.1007/s00446-014-0228-128:6(391-406)Online publication date: 26-Dec-2018
https://dl.acm.org/doi/10.1007/s00446-014-0228-1
Chelmis CZois D(2018)Order-of-Magnitude Popularity Estimation of Pirated ContentMachine Learning Techniques for Online Social Networks10.1007/978-3-319-89932-9_5(85-113)Online publication date: 31-May-2018
https://doi.org/10.1007/978-3-319-89932-9_5
Show More Cited By

Index Terms

How prevalent is content bundling in BitTorrent
1. Information systems
  1. World Wide Web
    1. Web applications
      1. Internet communications tools

Recommendations

How prevalent is content bundling in BitTorrent
Performance evaluation review

Despite the increasing interest in content bundling in BitTorrent systems, there are still few empirical studies on the bundling practice in real BitTorrent communities. In this paper, we conduct comprehensive measurements on one of the largest ...
Bundling practice in BitTorrent: what, how, and why
SIGMETRICS '12: Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems

We conduct comprehensive measurements on the current practice of content bundling to understand the structural patterns of torrents and the participant behaviors of swarms on one of the largest BitTorrent portals: The Pirate Bay. From the datasets of ...
Bundling practice in BitTorrent: what, how, and why
Performance evaluation review

We conduct comprehensive measurements on the current practice of content bundling to understand the structural patterns of torrents and the participant behaviors of swarms on one of the largest BitTorrent portals: The Pirate Bay. From the datasets of ...

Comments

Information & Contributors

Information

Published In

SIGMETRICS '11: Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems

June 2011

376 pages

ISBN:9781450308144

DOI:10.1145/1993744

General Chair:
Arif Merchant
Google, USA
,
Program Chairs:
Kimberly Keeton
HP Labs, USA
,
Dan Rubenstein
Columbia University, USA

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 June 2011

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Poster

Conference

SIGMETRICS '11

Sponsor:

SIGMETRICS

SIGMETRICS '11: ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems

June 7 - 11, 2011

California, San Jose, USA

Acceptance Rates

Overall Acceptance Rate 459 of 2,691 submissions, 17%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

7
Total Citations
View Citations
169
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Botacin MBertão Gde Geus PGrégio AKruegel CVigna G(2020)On the Security of Application Installers and Online Software RepositoriesDetection of Intrusions and Malware, and Vulnerability Assessment10.1007/978-3-030-52683-2_10(192-214)Online publication date: 7-Jul-2020
https://doi.org/10.1007/978-3-030-52683-2_10
Zhu JIoannidis SHegde NMassoulié L(2018)Stable and scalable universal swarmsDistributed Computing10.1007/s00446-014-0228-128:6(391-406)Online publication date: 26-Dec-2018
https://dl.acm.org/doi/10.1007/s00446-014-0228-1
Chelmis CZois D(2018)Order-of-Magnitude Popularity Estimation of Pirated ContentMachine Learning Techniques for Online Social Networks10.1007/978-3-319-89932-9_5(85-113)Online publication date: 31-May-2018
https://doi.org/10.1007/978-3-319-89932-9_5
Chaabouni RSanchez-Artigas MChaabouni AGarcia-Lopez P(2016)Improving the QoE in Personal Clouds with Cross-Swarm Bundling2016 IEEE 41st Conference on Local Computer Networks (LCN)10.1109/LCN.2016.71(424-432)Online publication date: Nov-2016
https://doi.org/10.1109/LCN.2016.71
Zhu JIoannidis SHegde NMassoulie L(2013)Stable and scalable universal swarmsACM SIGMETRICS Performance Evaluation Review10.1145/2494232.246553741:1(369-370)Online publication date: 17-Jun-2013
https://dl.acm.org/doi/10.1145/2494232.2465537
Zhu JIoannidis SHegde NMassoulie LFatourou PTaubenfeld G(2013)Stable and scalable universal swarmsProceedings of the 2013 ACM symposium on Principles of distributed computing10.1145/2484239.2484272(260-269)Online publication date: 22-Jul-2013
https://dl.acm.org/doi/10.1145/2484239.2484272
Zhu JIoannidis SHegde NMassoulie LHarchol-Balter MDouceur JXu J(2013)Stable and scalable universal swarmsProceedings of the ACM SIGMETRICS/international conference on Measurement and modeling of computer systems10.1145/2465529.2465537(369-370)Online publication date: 17-Jun-2013
https://dl.acm.org/doi/10.1145/2465529.2465537

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations