NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Automating Mid- and Long-Range Scheduling for the NASA Deep Space NetworkNASA has recently deployed a new mid-range scheduling system for the antennas of the Deep Space Network (DSN), called Service Scheduling Software, or S(sup 3). 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 S(sup 3) is complete and the system has been operational since July 2011. This paper describes some key aspects of the S(sup 3) system and on the challenges of modeling complex scheduling requirements and the ongoing extension of S(sup 3) 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.
Document ID
20130009147
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Johnston, Mark D.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Tran, Daniel
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 27, 2013
Publication Date
September 4, 2012
Subject Category
Space Communications, Spacecraft Communications, Command And Tracking
Meeting Information
Meeting: International Symposium on Artificial Intelligence, Robotics and Automation in Space
Location: Turin
Country: Italy
Start Date: September 4, 2012
End Date: September 6, 2012
Sponsors: European Space Agency
Distribution Limits
Public
Copyright
Other
Keywords
Deep Space Network
scheduling
optimization

Available Downloads

There are no available downloads for this record.
No Preview Available