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. © 2011 Springer-Verlag.
CITATION STYLE
Kim, T. K., Hou, B. K., & Cho, W. S. (2011). Private cloud computing techniques for inter-processing bioinformatics tools. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6935 LNCS, pp. 298–305). https://doi.org/10.1007/978-3-642-24082-9_37
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