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

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 env...

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Hauptverfasser: Prahalad, H A, Talukder, A, Pardeshi, S, Tamsekar, S, Hari Krishna, R, Chandrashekar, M A, Niket, B, Gandham, S
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creator Prahalad, H A
Talukder, A
Pardeshi, S
Tamsekar, S
Hari Krishna, R
Chandrashekar, M A
Niket, B
Gandham, S
description 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).
doi_str_mv 10.1109/WOCN.2010.5587350
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Bioinformatics
Cloud computing
Clouds
Computational Biology
Driver circuits
Genomics
GenomicsCloud
Next Generation Sequencing
OMIC Sciences
Phoenix
Systems Biology
Virtual machine monitors
Virtual machining
Virtualization
title Phoenix: System for implementing private and hybrid cloud for OMIC sciences applications
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