Energy-Efficient P2P File Sharing for Residential BitTorrent Users (Contributo in atti di convegno)

Type
Label
  • Energy-Efficient P2P File Sharing for Residential BitTorrent Users (Contributo in atti di convegno) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/ISCC.2012.6249349 (literal)
Alternative label
  • Conti Marco, Giannetti Ilaria, Anastasi Giuseppe (2012)
    Energy-Efficient P2P File Sharing for Residential BitTorrent Users
    in 17th IEEE Symposium on Computers and Communications (lSCC), TURKEY, 01-04 July 2012
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Conti Marco, Giannetti Ilaria, Anastasi Giuseppe (literal)
Pagina inizio
  • 524 (literal)
Pagina fine
  • 529 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • ID_PUMA; /cnr.iit/2012-A2-046 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • 2012 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 6 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-IIT, Pisa, Italy; Department of Information Engineering, University of Pisa, Italy; Department of Information Engineering, University of Pisa, Italy (literal)
Titolo
  • Energy-Efficient P2P File Sharing for Residential BitTorrent Users (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-1-4673-2713-8 (literal)
Abstract
  • BitTorrent is currently a very popular protocol for P2P file sharing, and most of BitTorrent users access the Internet from residential networks. In this paper we compare the legacy BitTorrent protocol with EE-BitTorrent, a proxy-based version recently proposed for energy efficiency, in a residential scenario. We show that the performance achieved by users is strongly influenced by the uplink throughput allowed by the access network. When the available uplink rate is low, the legacy BitTorrent protocol performs poorly and EE-BitTorrent outperforms it, in terms of average download time and energy consumption at the user's PC. The opposite occurs when the uplink rate is good. Motivated by these results, we designed and implemented AdaBT, an adaptive algorithm that dynamically selects the most efficient BitTorrent option (i.e., legacy or proxy-based), depending on the operating conditions experienced by the user. Our experimental results show that AdaBT is able to reduce significantly the download time provided by either the legacy BitTorrent or EE-BitTorrent (literal)
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