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GriPhyN: Pioneering Petascale Virtual Data Management Grids

GriPhyN project aims to revolutionize data management by creating a seamless virtual data grid for scientists, reducing barriers to computation and enhancing collaboration.

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GriPhyN: Pioneering Petascale Virtual Data Management Grids

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  1. GriPhyN – Towards Petascale Virtual Data GridsPaul Avery, University of Florida Ian Foster, University of ChicagoNSF Grant ITR-0086044 www.griphyn.org Research Objectives • Provide tools to manage, discover, & apply peta-scale data and software resources • Enable Grids to be used by scientists as simply as personal workstations Approach • A uniform virtual data model (VDL) to express datasets and workflow. Advanced planners, executors, monitors, predictors, and fault recovery to make the Grid “like a workstation” • Intensive Experiment/CS collaboration • Partnership with iVDGL and PPDG to deploy international Grid: www.ivdgl.org/grid2003 Broader Impact • Unified language to express data transformation benefits all sciences • Lowered barrier to computation; increased collaboration and communication • Benefits to education – enhance discovery and learning of scientific processes Participants • Argonne, Boston U, Brookhaven, Caltech, Fermilab,Hampton, Johns Hopkins, Harvard, Salish Kootenai, Texas A&M, UC Berkeley, UC San Diego,U Chicago, U Florida, USC/ISI, U Texas, U Wisconsin Significant Results • Virtual Data Language, Virtual Data Toolkit (VDT) • VDT tools applied by multiple sciences (ATLAS, CMS, LIGO, SDSS, Bioinformatics, others ) • Collaboration with other NSF & DOE supported projects to build international Grid Grid2003 • Outreach impact: Virtual data for QuarkNet,Summer Grid Workshop 2004-05 • Intensive student involvement – 25 graduate, 2 undergraduate; 4 CS PhDs as of 07/2005

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