Virtual data Grid middleware services for data-intensive science: Research Articles

Authors:
Yong Zhao;Michael Wilde;Ian Foster;Jens Voeckler;James Dobson;Eric Gilbert;Thomas Jordan;Elizabeth Quigg
Affiliations:
Department of Computer Science, University of Chicago, Chicago, IL 60637, U.S.A.;Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL 60439, U.S.A.;Department of Computer Science, University of Chicago, Chicago, IL 60637, U.S.A. and Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL 60439, U.S.A.;Department of Computer Science, University of Chicago, Chicago, IL 60637, U.S.A.;Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03955, U.S.A.;Fermi National Accelerator Laboratory, Batavia, IL 60510, U.S.A.;Fermi National Accelerator Laboratory, Batavia, IL 60510, U.S.A.;Fermi National Accelerator Laboratory, Batavia, IL 60510, U.S.A.
Venue:
Concurrency and Computation: Practice & Experience - Middleware for Grid Computing
Year:
2006

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Abstract

The GriPhyN virtual data system provides a suite of components and services for data-intensive sciences that enables scientists to systematically and efficiently describe, discover, and share large-scale data and computational resources. We describe the design and implementation of such middleware services in terms of a virtual data system interface called Chiron, and present virtual data integration examples from the QuarkNet education project and from functional-MRI-based neuroscience research. The Chiron interface also serves as an online ‘educator’ for virtual data applications. Copyright © 2005 John Wiley & Sons, Ltd.