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A service‐oriented Grid environment for integration of distributed kidney models and resources

Identifieur interne : 008894 ( Main/Exploration ); précédent : 008893; suivant : 008895

A service‐oriented Grid environment for integration of distributed kidney models and resources

Auteurs : Xingchen Chu [Australie] ; Andrew Lonie [Australie] ; Peter Harris [Australie] ; S. Randall Thomas [France] ; Rajkumar Buyya [Australie]

Source :

RBID : ISTEX:E79B59924F6D68F7F735426CF9737CA2D9642EA9

Descripteurs français

English descriptors

Abstract

In this paper, we present a Grid computing platform that provides experimental scientists and analysts with access to computational simulations and knowledge databases hosted in separate laboratories around the world involved with human and animal kidney research. No single laboratory can develop these resources in isolation, and the community of users should no longer need to be dependent upon the specific programming environment in which applications have been developed. This work aims at exploiting the power of high‐bandwidth communications networks for collaborative research and for shared access to knowledge resources. This platform is developed within a specialist community of renal scientists but will be transferable to any other field of research requiring interaction between published literature and databases, theoretical models and simulations and the formulation of effective experimental design. Copyright © 2008 John Wiley & Sons, Ltd.

Url:
DOI: 10.1002/cpe.1285


Affiliations:


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Le document en format XML

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<div type="abstract" xml:lang="en">In this paper, we present a Grid computing platform that provides experimental scientists and analysts with access to computational simulations and knowledge databases hosted in separate laboratories around the world involved with human and animal kidney research. No single laboratory can develop these resources in isolation, and the community of users should no longer need to be dependent upon the specific programming environment in which applications have been developed. This work aims at exploiting the power of high‐bandwidth communications networks for collaborative research and for shared access to knowledge resources. This platform is developed within a specialist community of renal scientists but will be transferable to any other field of research requiring interaction between published literature and databases, theoretical models and simulations and the formulation of effective experimental design. Copyright © 2008 John Wiley & Sons, Ltd.</div>
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