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 :
بازگشت