Private cloud computing techniques for inter-processing bioinformatics tools

  • Authors:
  • Tae-Kyung Kim;Bo Kyeng Hou;Wan-Sup Cho

  • Affiliations:
  • Research Institute of BioScience & BioTechnology, Yuseong-gu, DaeJeon, Korea;Research Institute of BioScience & BioTechnology, Yuseong-gu, DaeJeon, Korea;Dept. of Management Information Systems, Chungbuk National University, Korea

  • Venue:
  • ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
  • Year:
  • 2011

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Abstract

Cloud computing is a very attractive alternative to get advantages of high performance data processing and easy management of the complex tools in a bioinformatics area. We present a method, in which computing resources such as existing PCs and small cluster systems can be utilized as private cloud computing infrastructure for an inter-query style of bioinformatics tools. We proposed a private cloud computing environment for bioinformatics applications of inter-processing tasks. Furthermore, we present a metadata repository schema and 6 query routing algorithms on it. We apply proposed algorithms to ClustalW, a multiple sequence alignment tool. Experimental result shows remarkable benefits in a proposed private cloud system in terms of performance and various user requirements.