Measuring the bittorrent ecosystem: techniques, tips, and tricks

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dc.contributor.author Kryczka, Michal
dc.contributor.author Cuevas, Rubén
dc.contributor.author Guerrero, Carmen
dc.contributor.author Azcorra, Arturo
dc.contributor.author Cuevas, Ángel
dc.date.accessioned 2015-02-09T11:03:29Z
dc.date.available 2015-02-09T11:03:29Z
dc.date.issued 2011-09
dc.identifier.bibliographicCitation IEEE Communications Magazine 49 (2011) 9, pp. 144 - 152
dc.identifier.issn 0163-6804
dc.identifier.uri http://hdl.handle.net/10016/20017
dc.description.abstract BitTorrent is the most successful peer-to-peer application. In the last years the research community has studied the BitTorrent ecosystem by collecting data from real BitTorrent swarms using different measurement techniques. In this article we present the first survey of these techniques that constitutes a first step in the design of future measurement techniques and tools for analyzing large-scale systems. The techniques are classified into macroscopic, microscopic, and complementary. Macroscopic techniques allow us to collect aggregated information of torrents and present very high scalability, able to monitor up to hundreds of thousands of torrents in short periods of time. Microscopic techniques operate at the peer level and focus on understanding performance aspects such as the peers¿ download rates. They offer higher granularity but do not scale as well as macroscopic techniques. Finally, complementary techniques utilize recent extensions to the BitTorrent protocol in order to obtain both aggregated and peer-level information. The article also summarizes the main challenges faced by the research community to accurately measure the BitTorrent ecosystem such as accurately identifying peers and estimating peers' upload rates. Furthermore, we provide possible solutions to address the described challenges.
dc.description.sponsorship The research leading to these results has received funding from the European Union Seventh Framework Program (FP7/2007-2013) through the TREND NoE project (grant agreement no. 25774) and the Regional Government of Madrid through the MEDIANET project (S- 2009/TIC-1468).
dc.format.extent 9
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IEEE
dc.rights © IEEE
dc.subject.other Ecosystems
dc.subject.other IP networks
dc.subject.other Peer to peer computing
dc.subject.other Telecommunication network management
dc.title Measuring the bittorrent ecosystem: techniques, tips, and tricks
dc.type article
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1109/MCOM.2011.6011746
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi 10.1109/MCOM.2011.6011746
dc.rights.accessRights openAccess
dc.relation.projectID Comunidad de Madrid. S2009/TIC-1468/MEDIANET
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 144
dc.identifier.publicationissue 9
dc.identifier.publicationlastpage 152
dc.identifier.publicationtitle IEEE Communications magazine
dc.identifier.publicationvolume 49
dc.identifier.uxxi AR/0000009361
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