A Quantitative Framework to Inform Data System Architecture and Services On the Cloud Based on User Needs and Expected Demand

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ADS bibcode: 2018AGUFMIN51B0578O
year: 2018
Listed Authors: Oaida, C. M.; Stavros, E. N.; Hausman, J.
Listed Institutions: Jet Propulsion Laboratory/PODAAC, Raytheon, Pasadena, CA, United States; Water and Carbon Cycles group, NASA Jet Propulsion Laboratory, Pasadena, CA, United States; PO.DAAC, Jet Propulsion Laboratory, Pasadena, CA, United States

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Jet Propulsion Laboratory