Data-Oriented distributed computing for science: reality and possibilities

Authors:
Daniel S. Katz;Joseph C. Jacob;Peggy P. Li;Yi Chao;Gabrielle Allen
Affiliations:
Center for Computation & Technology, Louisiana State University;Jet Propulsion Laboratory, California Institute of Technology;Jet Propulsion Laboratory, California Institute of Technology;Jet Propulsion Laboratory, California Institute of Technology;Center for Computation & Technology, Louisiana State University
Venue:
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part II
Year:
2006

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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.