Title :
Data-driven discovery through e-science technologies
Author_Institution :
George Mason Univ., Fairfax, VA
Abstract :
Future space missions and science programs will be massive data producers. The technology to produce large data volumes must be matched by technologies to process, analyze, and make use of the data flood, in order to reap the maximum engineering benefit and scientific return from those technology investments. In particular, the integration of data from multiple sources will be standard practice, both for operational decision-making and for scientific decision-making. We describe the application of the emerging e-science paradigm and its related technologies to data-driven discovery in space missions of the future
Keywords :
aerospace computing; decision making; very large databases; data driven discovery; data integration; e-science technologies; operational decision making; science programs; scientific decision making; space missions; Astronomy; Data engineering; Decision making; Distributed computing; Internet; Kirk field collapse effect; Real time systems; Space missions; Space technology; Spatial databases;
Conference_Titel :
Space Mission Challenges for Information Technology, 2006. SMC-IT 2006. Second IEEE International Conference on
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7695-2644-6
DOI :
10.1109/SMC-IT.2006.28
