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Springer, Lecture Notes in Computer Science, p. 1119-1124, 2006

DOI: 10.1007/11914952_2

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Data-oriented distributed computing for science: Reality and possibilities

Journal article published in 2006 by Daniel S. Katz ORCID, Joseph C. Jacob, Peggy P. Li, Yi Chao, Gabrielle Allen
This paper is available in a repository.
This paper is available in a repository.

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Data provided by SHERPA/RoMEO

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(1), Grist(2), OurOcean(3), and SCOOP4, and will discuss the distributed computing, Grid, and Web-service technologies that have successfully been used in these projects.