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
Link To Document :
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