• DocumentCode
    2233334
  • Title

    Leveraging data intensive computing to support Automated Event Services

  • Author

    Clune, Thomas L. ; Freeman, Shawn M. ; Kuo, Kwo-Sen

  • Author_Institution
    Earth Sci. Div., NASA GSFC, Greenbelt, MD, USA
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    5352
  • Lastpage
    5355
  • Abstract
    Our AES is an ideal example of a new generation of scientific analysis tools that are empowered by the rapid growth of facilities tailored for data-intensive computing. AES will greatly reduce the effort on the part of investigators to systematically search for interesting correlations and test hypotheses while also freeing researchers from the burden of managing the exploding volume of data. By supporting the ability to exchange event specifications and query results, AES greatly aids collaboration among investigators. We anticipate that AES will ultimately lead to entirely novel lines of investigation.
  • Keywords
    Auger electron spectroscopy; correlation theory; query processing; scientific information systems; AES; automated event services; correlations search; data intensive computing; data volume; exchange event specifications; investigation lines; query exchange; scientific analysis tools; test hypotheses; Data models; Heating; Hurricanes; NASA; Tornadoes; Tropical cyclones;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352398
  • Filename
    6352398