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Cloud Computing Applications in Computational Science

  • Date Submitted: 03/18/2011 04:02 PM
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International Journal of Advanced Computer and Mathematical Sciences. Vol 1, Issue 1, Dec, 2010, pp 1-6.

http://bipublication.com

CLOUD COMPUTING APPLICATIONS IN COMPUTATIONAL SCIENCE
Manisha B. Jadhav, * Vishnu J. Gaikwad, C. V. Patil, G. S. Deshpande
Department of Computer Science and IT, MGM College of CS and IT Nanded 431605, MS, India *Department of Biotechnology, Tatyasaheb Kore Institute of Engineering and Technology, Warananagar, Tal: Panhala, Dist: Kolhapur, Pin: 4116113, MS, India

Abstract
Cloud computing is a style of computing in which dynamically scalable and often virtualized resources are provided as a service. Users need not have knowledge of, expertise in, or control over the technology infrastructure in the "cloud" that supports them. and all its explanation. We are on the verge of a new era in computing, in which innovative software running on intelligent devices (“clients”), complemented by Internet-based data storage and services (the “cloud”), will offer users more engaging, seamless experiences across their computers, cell phones and other devices. Many services in bioinformatics take longer than just a few seconds to complete, for example querying over large or multiple databases and computationally intensive calculations like protein structure prediction, identification of protein domains, families and functional sites, and sequence alignments. This next generation of computing holds enormous potential to stimulate economic growth and enable governments to reduce costs, increase transparency and expand services tocitizens. KEYWORDS: Cloud computing, economic growth, bioinformatics, protein domains, alignments.

INTRODUCTION: Cloudcomputing is Internetbased computing, whereby shared resources, software and information are provided to computers and other devices on-demand, like a public utility. It is a paradigm shift following the shift from mainframe to client-server that preceded it in the early '80s. Details are abstracted...

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