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
Link To Document