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Data-Oriented Distributed Computing for Science: Reality and Possibilities

Identifieur interne : 000169 ( Istex/Corpus ); précédent : 000168; suivant : 000170

Data-Oriented Distributed Computing for Science: Reality and Possibilities

Auteurs : S. Katz ; C. Jacob ; P. Li ; Yi Chao ; Gabrielle Allen

Source :

RBID : ISTEX:06F3168844AB1258F60633F49465A800C2C1EF8E

Abstract

Abstract: As is becoming commonly known, there is an explosion happening in the amount of scientific data that is publicly available. One challenge is how to make productive use of this data. This talk will discuss some parallel and distributed computing projects, centered around virtual astronomy, but also including other scientific data-oriented realms. It will look at some specific projects from the past, including Montage, Grist, OurOcean, and SCOOP, and will discuss the distributed computing, Grid, and Web-service technologies that have successfully been used in these projects.

Url:
DOI: 10.1007/11914952_2

Links to Exploration step

ISTEX:06F3168844AB1258F60633F49465A800C2C1EF8E

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