• DocumentCode
    3539818
  • Title

    ISP friendly peer selection in bittorrent

  • Author

    Fernando, Tyrone ; Keppetiyagama, Chamath

  • Author_Institution
    Sch. of Comput., Univ. of Colombo, Colombo, Sri Lanka
  • fYear
    2013
  • fDate
    11-15 Dec. 2013
  • Firstpage
    160
  • Lastpage
    167
  • Abstract
    Peer-to-peer (P2P) applications provides services such as content sharing, video-on-demand, voice-over-IP which are very popular among Internet users and it accounts for a significant amount of global internet traffic. Use of overlay networks pose significant new challenges to Internet Service Providers (ISP). In order to reduce operational costs ISP are throttling or blocking P2P traffic which is unfavourable for a majority of internet users. In this paper, we design and evaluate an approach of reducing these costs when using BitTorrent P2P applications. Our approach involves of using knowledge of network paths that can be gathered in trackers and using it to bias the peer selection without any modification to any client software. Using the results of an evaluation of nearly 300 users in PlanetLab testbed the proposed approach will reduce cross-ISP traffic by 44% while improving in download speed (40%) and upload speed (39%).
  • Keywords
    Internet; cost reduction; peer-to-peer computing; BitTorrent P2P applications; ISP friendly peer selection; Internet service providers; Internet users; P2P applications; P2P traffic; PlanetLab testbed; content sharing; cross-ISP traffic reduction; download speed; network path; operational cost reduction; peer selection; peer-to-peer applications; upload speed; video-on-demand; voice-over-IP; Bandwidth; IP networks; Internet; Peer-to-peer computing; Protocols; Routing; Software; BitTorrent; Peer-to-peer; neighbour selection; performance; traffic locality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in ICT for Emerging Regions (ICTer), 2013 International Conference on
  • Conference_Location
    Colombo
  • Print_ISBN
    978-1-4799-1275-9
  • Type

    conf

  • DOI
    10.1109/ICTer.2013.6761172
  • Filename
    6761172