Data-Oriented Distributed Computing for Science: Reality and Possibilities

  • Daniel S. Katz
  • Joseph C. Jacob
  • Peggy P. Li
  • Yi Chao
  • Gabrielle Allen
Conference paper

DOI: 10.1007/11914952_2

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4276)
Cite this paper as:
Katz D.S., Jacob J.C., Li P.P., Chao Y., Allen G. (2006) Data-Oriented Distributed Computing for Science: Reality and Possibilities. In: Meersman R., Tari Z. (eds) On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE. OTM 2006. Lecture Notes in Computer Science, vol 4276. Springer, Berlin, Heidelberg

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Daniel S. Katz
    • 1
    • 2
  • Joseph C. Jacob
    • 2
  • Peggy P. Li
    • 2
  • Yi Chao
    • 2
  • Gabrielle Allen
    • 1
  1. 1.Center for Computation & Technology, Louisiana State University 
  2. 2.Jet Propulsion Laboratory, California Institute of Technology 

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