On design of cluster and grid computing environment toolkit for bioinformatics applications

Authors:
Chao-Tung Yang;Yu-Lun Kuo;Kuan-Ching Li;Jean-Luc Gaudiot
Affiliations:
High Performance Computing Laboratory, Dept. of Computer Science and Information Engineering, Tunghai University, Taichung, Taiwan ROC;High Performance Computing Laboratory, Dept. of Computer Science and Information Engineering, Tunghai University, Taichung, Taiwan ROC;Parallel and Distributed Processing Center, Dept. of Computer Science and Information Management, Providence University, Taichung, Taiwan ROC;Parallel and Scalable Computer Architecture Laboratory, Dept. of Electrical Engineering and Computer Science, University of California – Irvine, Irvine, CA
Venue:
IWDC'04 Proceedings of the 6th international conference on Distributed Computing
Year:
2004

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Abstract

In this paper, we present BioGrid, a novel computing resource that combines advantages of grid computing technology with bioinformatics parallel applications. The grid environment permits the sharing of a large amount of idle computing resources and data. The investigation of bioinformatics demands orders of magnitude of computing resources and in parallel, the biological data are growing in such a high speed. By using BioGrid, we plan to integrate and share resources and biological data using the grid computing technology. Still in this paper, the well-known FASTA application is performed as matter of testing and analysis in our grid computing platform, as goal to show the improved efficiency and reduced computation time.