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Automating mid- and long-range scheduling for the NASA Deep Space Network

Show simple item record Johnston, Mark D. Tran, Daniel 2013-01-10T23:25:05Z 2013-01-10T23:25:05Z 2012-09-04
dc.identifier.citation i-SAIRAS: International Symposium on Artificial Intelligence, Robotics and Automation in Space, Turin, Italy, September 4-6, 2012 en_US
dc.identifier.clearanceno 12-2848
dc.description.abstract NASA has recently deployed a new mid-range scheduling system for the antennas of the Deep Space Network (DSN), called Service Scheduling Software, or S³. This system was designed and deployed as a modern web application containing a central scheduling database integrated with a collaborative environment, exploiting the same technologies as social web applications but applied to a space operations context. This is highly relevant to the DSN domain since the network schedule of operations is developed in a peer-to-peer negotiation process among all users of the DSN. These users represent not only NASA’s deep space missions, but also international partners and ground-based science and calibration users. The initial implementation of S³ is complete and the system has been operational since July 2011. This paper describes some key aspects of the S³ system and on the challenges of modeling complex scheduling requirements and the ongoing extension of S³ to encompass long-range planning, downtime analysis, and forecasting, as the next step in developing a single integrated DSN scheduling tool suite to cover all time ranges. en_US
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, 2012. en_US
dc.subject scheduling en_US
dc.subject optimization en_US
dc.subject Deep Space Network en_US
dc.title Automating mid- and long-range scheduling for the NASA Deep Space Network en_US
dc.type Preprint en_US
dc.subject.NASATaxonomy Computer Programming and Software en_US

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