DocumentCode :
2998911
Title :
Data farming: discovering surprise
Author :
Horne, Gary E. ; Meyer, Theodore E.
Author_Institution :
Referentia Syst. Inc., Honolulu, HI
fYear :
2005
fDate :
4-4 Dec. 2005
Abstract :
Data farming is a methodology and capability that makes use of high performance computing to run models many times. This capability gives modelers and their clients the enhanced ability to discover trends and outlier in results, do sensitivity studies, verify and validate over extended ranges of input parameters, and consider modeling and analyzing non-linear phenomena with characteristics that can not be precisely defined. As high performance computing, in the form of distributed computing capabilities and commodity node systems becomes more pervasive and cost effective, data farming can become more available to modelers. In this paper the authors summarize data farming and the processes and data architecture of data farming systems that make high performance computing readily available to modelers
Keywords :
data handling; digital simulation; data farming; distributed computing; high performance computing; Algorithm design and analysis; Bioterrorism; Computer architecture; Costs; Distributed computing; High performance computing; Open systems; Performance gain; Protection; Terrorism;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 2005 Proceedings of the Winter
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-9519-0
Type :
conf
DOI :
10.1109/WSC.2005.1574362
Filename :
1574362
Link To Document :
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