JPL Technical Report Server

Lessons learned on optimization approaches for high-scalability and high-resiliency in AWS

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dc.contributor.author Hua, Hook
dc.contributor.author Manipon, Gerald
dc.contributor.author Wilson, Brian
dc.contributor.author Starch, Michael
dc.contributor.author Dang, Lan
dc.contributor.author Southam, Phillip
dc.contributor.author Ramirez, Paul
dc.date.accessioned 2019-04-30T20:49:35Z
dc.date.available 2019-04-30T20:49:35Z
dc.date.issued 2016-01-06
dc.identifier.citation ESIP 2016 Winter Meeting, Washington, D.C., January 6-8, 2016 en_US
dc.identifier.clearanceno 16-0184
dc.identifier.uri http://hdl.handle.net/2014/46015
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2016 en_US
dc.title Lessons learned on optimization approaches for high-scalability and high-resiliency in AWS en_US
dc.type Presentation en_US


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