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A Dataspace Infrastructure for Astronomical Data

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Data Mining for Scientific and Engineering Applications

Part of the book series: Massive Computing ((MACO,volume 2))

Abstract

This article describes an internet infrastructure for working with data called DataSpace. A distributed DataSpace application containing data from the 2MASS and DPOSS astronomical data sets is also described. DataSpace is designed so that client applications supporting the remote analysis and distributed mining of data are easy to build.

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References

  1. http://www.ipac.caltech.edu/2mass/.

  2. http://astro.caltech.edu/rrg/science/dposs.html.

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  7. Roger Sanders. Hans on ODBC 3.5 Developer’s Guide. Osborne McGraw-Hill, VNIT 1998.

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  8. R. Grossman S. Gutti S. Bailey, E. Creel and H. Sivakumar. A high performance implementation of the data space transfer protocol (dstp). In M. J. Zaki and C.-T. Ho, editors, Large-Scale Parallel Data Mining, pages 55–64. Springer-Verlag, 2000.

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Authors
  1. Robert Grossman
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  2. Emory Creel
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  3. Marco Mazzucco
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  4. Roy Williams
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Editor information

Editors and Affiliations

  1. University of Illinois, Chicago, USA

    Robert L. Grossman

  2. Lawrence Livermore National Laboratory, Livermore, USA

    Chandrika Kamath

  3. Sandia National Laboratories, Livermore, USA

    Philip Kegelmeyer

  4. Army High Performance Computing Research Center (AHPCRC), Minneapolis, USA

    Vipin Kumar

  5. Army Research Laboratory, Aberdeen Proving Ground, USA

    Raju R. Namburu

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© 2001 Springer Science+Business Media Dordrecht

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Grossman, R., Creel, E., Mazzucco, M., Williams, R. (2001). A Dataspace Infrastructure for Astronomical Data. In: Grossman, R.L., Kamath, C., Kegelmeyer, P., Kumar, V., Namburu, R.R. (eds) Data Mining for Scientific and Engineering Applications. Massive Computing, vol 2. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1733-7_7

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  • DOI: https://doi.org/10.1007/978-1-4615-1733-7_7

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4020-0114-7

  • Online ISBN: 978-1-4615-1733-7

  • eBook Packages: Springer Book Archive

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