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

Show simple item record Johnston, Mark D. Tran, Daniel Arroyo, Belinda Sorensen, Sugi Tay, Peter Carruth, Butch Coffman, Adam Wallace, Mike 2013-01-11T00:31:29Z 2013-01-11T00:31:29Z 2012-06-11
dc.identifier.citation SpaceOps 2012, Stockholm, Sweden, June 11-15, 2012 en_US
dc.identifier.clearanceno 12-1825
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 is architected 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 who utilize the DSN (representing 37 projects including 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. S³ has been used for negotiating schedules since April 2011, including the baseline schedules for three launching missions in late 2011. S³ supports a distributed scheduling model, in which changes can potentially be made by multiple users based on multiple schedule “workspaces” or versions of the schedule. This has led to several challenges in the design of the scheduling database, and of a change proposal workflow that allows users to concur with or to reject proposed schedule changes, and then counter-propose with alternative or additional suggested changes. This paper describes some key aspects of the S³ system and lessons learned from its operational deployment to date, focusing on the challenges of multi-user collaborative scheduling in a practical and mission-critical setting. We will also describe the ongoing project to extend 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 Deep Space Network (DSN) en_US
dc.subject scheduling en_US
dc.subject planning en_US
dc.title Automating mid- and long-range scheduling for NASA’s Deep Space Network en_US
dc.type Preprint en_US
dc.subject.NASATaxonomy Space Communications, Spacecraft Communications, Command and Tracking en_US

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