Data webs for earth science data

Authors:
Asvin Ananthanarayan;Rajiv Balachandran;Robert Grossman;Yunhong Gu;Xinwei Hong;Jorge Levera;Marco Mazzucco
Affiliations:
Laboratory for Advanced Computing, University of Illinois at Chicago, M/C 249, 851 South Morgan Street, Chicago, IL;Laboratory for Advanced Computing, University of Illinois at Chicago, M/C 249, 851 South Morgan Street, Chicago, IL;Laboratory for Advanced Computing, University of Illinois at Chicago, M/C 249, 851 South Morgan Street, Chicago, IL;Laboratory for Advanced Computing, University of Illinois at Chicago, M/C 249, 851 South Morgan Street, Chicago, IL;Laboratory for Advanced Computing, University of Illinois at Chicago, M/C 249, 851 South Morgan Street, Chicago, IL;Laboratory for Advanced Computing, University of Illinois at Chicago, M/C 249, 851 South Morgan Street, Chicago, IL;Laboratory for Advanced Computing, University of Illinois at Chicago, M/C 249, 851 South Morgan Street, Chicago, IL
Venue:
Parallel Computing - Special issue: High performance computing with geographical data
Year:
2003

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Abstract

We describe high performance data webs for earth science data, which are designed for interactively analyzing small to moderate size remote data sets, as well as mining distributed data sets. Achieving high performance required developing specialized high performance transport services as well as specialized high performance middleware services for merging multiple data streams. Data webs complement data grids, which are grid based infrastructures designed to support arbitrary distributed computation over distributed data using a trusted computing model.