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Measuring the bittorrent ecosystem: techniques, tips, and tricks

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorKryczka, Michal
dc.contributor.authorCuevas Rumín, Rubén
dc.contributor.authorGuerrero López, María Carmen
dc.contributor.authorAzcorra Saloña, Arturo
dc.contributor.authorCuevas Rumín, Ángel
dc.date.accessioned2015-02-09T11:03:29Z
dc.date.available2015-02-09T11:03:29Z
dc.date.issued2011-09
dc.description.abstractBitTorrent 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.en
dc.description.sponsorshipThe 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).en
dc.description.statusPublicado
dc.format.extent9
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationIEEE Communications Magazine 49 (2011) 9, pp. 144 - 152en
dc.identifier.doi10.1109/MCOM.2011.6011746
dc.identifier.issn0163-6804
dc.identifier.publicationfirstpage144
dc.identifier.publicationissue9
dc.identifier.publicationlastpage152
dc.identifier.publicationtitleIEEE Communications magazineen
dc.identifier.publicationvolume49
dc.identifier.urihttps://hdl.handle.net/10016/20017
dc.identifier.uxxiAR/0000009361
dc.language.isoeng
dc.publisherIEEEen
dc.relation.projectIDComunidad de Madrid. S2009/TIC-1468/MEDIANETes
dc.relation.publisherversionhttp://dx.doi.org/10.1109/MCOM.2011.6011746
dc.rights© IEEEen
dc.rights.accessRightsopen access
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherEcosystemsen
dc.subject.otherIP networksen
dc.subject.otherPeer to peer computingen
dc.subject.otherTelecommunication network managementen
dc.titleMeasuring the bittorrent ecosystem: techniques, tips, and tricksen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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