Statistics – Computation
Scientific paper
Apr 2001
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001aps..aprc11001a&link_type=abstract
American Physical Society, April Meeting, April 28 - May 1, 2001 Washington, DC Bulletin of the American Physical Society, Vol.
Statistics
Computation
Scientific paper
New physics and astronomy experiments bring unprecedented challenges in information technology:(1) providing rapid access to massive data stores of 100 PB or more and (2) providing transparent access to heterogeneous computing resources throughout the world. We discuss here how these challenges can be met by hierarchical computational Grids of data analysis centers linked by fast networks. The integrated Grid architecture will allow physicists at laboratories and home institutions to play key roles in all stages of the data analysis, from development of the software infrastructure to the extraction of first physics results from petabyte-scale data stores. Several Grid projects have been funded in the US and Europe, including PPDG, GriPhyN, and EU DataGrid. These projects, which represent several areas of physics, astronomy and other sciences, are developing a common Grid infrastructure that will be deployed on a worldwide scale and will help drive the design and implementation of future distributed systems in many fields of science, engineering and industry.
Avery Paul
Newman Harvey
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