• DocumentCode
    1688212
  • Title

    Optimizing the data distribution layer of BOINC with BitTorrent

  • Author

    Costa, Fernando ; Silva, Luis ; Fedak, Gilles ; Kelley, Ian

  • Author_Institution
    Dept. Eng. Inf., Univ. de Coimbra, Coimbra
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper we show how we applied BitTorrent data distribution techniques to the BOINC middleware. Our goal was to decentralize BOINC´s data model to take advantage of client network capabilities. To achieve this, we developed a prototype that adds BitTorrent functionality for task distribution and conducted small- scale tests of the environment. Additionally, we measured the impact of the BitTorrent components in both the BOINC client and server, and compared it with the original implementation. Our preliminary results indicate that the BitTorrent client had a negligible influence on the BOINC client´s computation time, even in the case where it was seeding extensively. The BOINC server, on the contrary, showed an unexpectedly low bandwidth output when seeding the file, as well as spikes on CPU usage. Current results show the BitTorrent scenario allows clients to share the burden of data distribution on BOINC with almost no negative influence on compute time. This paper will discuss the tests that were performed, how they were evaluated, as well as some improvements that could be made to future tests to enhance server-side efficiency.
  • Keywords
    middleware; network servers; peer-to-peer computing; BOINC middleware; BitTorrent; CPU usage; data distribution layer; server-side efficiency; task distribution; Bandwidth; Data models; Distributed computing; File servers; Middleware; Network servers; Performance evaluation; Prototypes; Testing; Time sharing computer systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing, 2008. IPDPS 2008. IEEE International Symposium on
  • Conference_Location
    Miami, FL
  • ISSN
    1530-2075
  • Print_ISBN
    978-1-4244-1693-6
  • Electronic_ISBN
    1530-2075
  • Type

    conf

  • DOI
    10.1109/IPDPS.2008.4536446
  • Filename
    4536446