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Phoenix: System for implementing private and hybrid cloud for OMIC sciences applications

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8 Author(s)
Prahalad, H.A. ; Geschickten Solutions, Bangalore, India ; Talukder, A. ; Pardeshi, S. ; Tamsekar, S.
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Computational Quantitative Biology applications like Genomics, Transcriptomics, Proteomics, Metabolomics and Systems Biology at large require high computing resources that include both processing and storage. Cloud computing provides dynamically scalable on-demand infrastructure in a virtualised environment for processor intensive and data/storage intensive applications. Users need not own this infrastructure; rather use them as and when needed by paying for these resources in pay-as-you-use model that are generally available as a service over the internet. In this paper we present Phoenix - a middleware system for platform as a service (PaaS). This paper describes Phoenix as a novel system for implementing GenomicsCloud - A Cloud computing solution designed specifically to solve OMIC sciences problems. It comprises of a vast pool of compute, storage and application infrastructure for processing the data generated by next generation sequencers (NGS).

Published in:

Wireless And Optical Communications Networks (WOCN), 2010 Seventh International Conference On

Date of Conference:

6-8 Sept. 2010