Private cloud computing techniques for inter-processing bioinformatics tools

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Title
Private cloud computing techniques for inter-processing bioinformatics tools
Author(s)
Tae Kyung Kim; Bo Kyeng Hou; W S Cho
Bibliographic Citation
Lecture Notes in Computer Science, vol. 6935, pp. 298-305
Publication Year
2011
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.
Keyword
Bio Cloud SystemBioinformatics InfrastructureClustalWInter and Intra Query Processing
ISSN
0302-9743
Publisher
Springer Verlag (Germany)
DOI
http://dx.doi.org/10.1007/978-3-642-24082-9_37
Type
Article
Appears in Collections:
1. Journal Articles > Journal Articles
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