Big data/high performance computing perspectives for unmanned systems

dc.contributor.authorAndresen, Daniel
dc.contributor.authoreiddanen_US
dc.date.accessioned2013-11-12T20:22:38Z
dc.date.available2013-11-12T20:22:38Z
dc.date.issued2013-11-12
dc.date.published2013en_US
dc.description.abstractUAVs have unique information flow requirements from technical and utilitarian perspectives, with the potential for both overwhelming amounts of data and severely limited information flows. When combined with the need for long-term storage and rapid analytical capabilities, the problems can seem intractable. In this talk we will discuss architectural approaches and potential solutions to address these issues from a Big Data/High Performance Computing perspective.en_US
dc.description.conferenceKansas Unmanned Systems Conference, Manhattan, KS, October 14-16, 2013en_US
dc.identifier.urihttp://hdl.handle.net/2097/16792
dc.language.isoen_USen_US
dc.publisherKansas State Universityen_US
dc.subjectUnmanned air vehiclesen_US
dc.subjectData managementen_US
dc.subjectStorageen_US
dc.subjectData analysisen_US
dc.titleBig data/high performance computing perspectives for unmanned systemsen_US
dc.typeTexten_US

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