• DocumentCode
    3010617
  • Title

    p2pBIOFOCO: Proposing a Peer-to-Peer System for Distributed BLAST Execution

  • Author

    Ribeiro, E.O. ; Walter, M. E M T ; Costa, M.M. ; Togawa, R. ; Pappas, G.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Brasilia, Brasilia
  • fYear
    2008
  • fDate
    25-27 Sept. 2008
  • Firstpage
    594
  • Lastpage
    601
  • Abstract
    The peer-to-peer (P2P) model is currently being used for applications that demand great amount of time and space resources, taking advantage of idle and geographically distributed machines. Bioinformatics is a field that requires large amount of computational resources. In this context, we propose a P2P model that executes a particular bioinformatics application, named BLAST. This is a method for comparing two biological sequences at a time. But it requires a great amount of computation, since it compares a big file containing thousands of sequences that are being investigated and a very large database containing millions of biological sequences. We describe in detail the architecture of our framework, and present experiments using real biological data, that were executed on machines available in three institutions of Brazil - University of Brasilia, Catholic University of Brasilia and Embrapa/Genetic Resources and Biotechnology. The obtained results, when comparing the execution of BLAST in this P2P framework and its execution in the best machine of the three institutions, show that our P2P model can efficiently run other bioinformatics applications.
  • Keywords
    biology computing; peer-to-peer computing; very large databases; bioinformatics; biological sequence; distributed BLAST execution; geographically distributed machine; p2pBIOFOCO; peer-to-peer system; very large database; Application software; Bioinformatics; Biological system modeling; Biology computing; Biotechnology; Computer architecture; Fault tolerant systems; Genetics; Network topology; Peer to peer computing; bioinformatics; blast; p2p; systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communications, 2008. HPCC '08. 10th IEEE International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-0-7695-3352-0
  • Type

    conf

  • DOI
    10.1109/HPCC.2008.139
  • Filename
    4637751