The Bittorrent P2P File-Sharing System: Measurements and Analysis
By Johan A. Pouwelse, Pawel Garbacki, Dick H. J. Epema, Henk J. Sips. 2005
904 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Arvind Narayanan
- Ben Zevenbergen
- Yong Liu
- Chao Liang
- Pietro Michiardi
- Arnaud Legout
- Allen Clement
- Guillaume Urvoy-Keller
Citations in the corpus
- Riffle (2016, methodology): “From the pool, each client chose one file to request and one file to share, and each file was divided into 256KB blocks, similar to BitTorrent’s typical block size [42].”
- Should internet service providers fear peer-assisted content distribution? (2005, neutral): “present an extensive analysis of BitTorrent showing availability, peer uptimes, and providing a better understanding of peer interarrival times [21].”
- TRIBLER: a social‐based peer‐to‐peer system (2008, methodology): “Starting in 2003, we have studied the performance of Bittorrent [14], which has been for a number of years the most popularP2Pfile-sharing system.”
- Decentralized Applications: The Blockchain-Empowered Software System (2018, background): “The possibility of file sharing has been investigated since the explosive adoption of the BitTorrent P2P network [24].”
- Clustering and sharing incentives in BitTorrent systems (2006, neutral): “…C.2.2 [Computer-Communication Networks]: Network Protocols; C.2.4 [Computer-Communication Networks]: Distributed Systems; C.4 [Performance of Systems] General Terms Algorithms, Measurement, Performance Keywords BitTorrent, choking algorithm, clustering, incentives, seed provisioning 1.”
- Measurements, analysis, and modeling of BitTorrent-like systems (2005, methodology): “Research has been conducted to study the effectiveness of BitTorrent-like systems [7, 14, 17, 18, 23].”
- Rarest first and choke algorithms are enough (2006, background): “[21] study the file popularity, file availability, download performance, content lifetime and pollution level on a popular BitTorrent tracker site.”
- An Experimental Study of the Skype Peer-to-Peer VoIP System (2005, methodology): “While measurement studies of both P2P file-sharing networks [26, 27, 2, 13, 21]”
- BiToS: Enhancing BitTorrent for Supporting Streaming Applications (2006, background): “However, the main reason that these services cannot be supported is that BT protocol needs a lot of modifications, which would result in a creation of a new protocol.”
- A Measurement Study of a Large-Scale P2P IPTV System (2007, methodology): “reported measurement results for BitTorrent [37] and [38].”
- An architecture for exploiting multi-core processors to parallelize network intrusion prevention (2007, neutral): “It has already been largely evaluated through analysis of large scale utilization [13, 11], analytical modeling [15] or simulation [2].”
- SoK: The Evolution of Sybil Defense via Social Networks (2013, background): “This style of sybil defense2 promises not only to be more surgical, but offers a mathematically precise and elegant way to characterize the robustness of a sybil defense technique in terms of the number of attack edges it can handle.”
- No Encore for Encore? Ethical questions for web-based censorship measurement (2015, methodology): “Researchers have used this method to study the BitTorrent file-sharing system, the Tor anonymity network, and the Bitcoin cryptocurrency network [10, 11, 12].”
- Improving Traffic Locality in BitTorrent via Biased Neighbor Selection (2006, methodology): “In the following discussion, we refer to the BitTorrent network using uniform random neighbor selection as “regular BitTorrent”, and the BitTorrent network using biased neighbor selection as “biased BitTorrent”.”
- File Sharing and Copyright (2010, result): “The situation in the social sciences is in marked contrast to the research in computer science in which many studies carefully measure individual file‐sharing activity (e.g., Leibowitz et al. 2002; Gummadi et al. 2003; Liang, Kumar, and Ross 2005; Liang, Kumar, Xi, and Ross 2005; Pouwelse et al. 200”