Automating Mid- and Long-Range Scheduling for NASA's Deep Space Network. Johnston, M., Tran, D., Arroyo, B., Sorensen, S., Tay, P., Carruth, B., Coffman, A., & Wallace, M. In International Conference On Space Operations (SpaceOps 2012), Stockholm, Sweden, June, 2012.
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Paper abstract bibtex 22 downloads
Paper abstract bibtex 22 downloads NASA has recently deployed a new mid-range scheduling system for the antennas of the Deep Space Network (DSN), called Service Scheduling Software, or S 3 . 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 S 3 is complete and the system has been operational since July 2011. S 3 has been used for negotiating schedules since April 2011, including the baseline schedules for three launching missions in late 2011. S 3 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 S 3 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 S 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.
@inproceedings{thompson-tran-arroyo-et-al-SpaceOps-2012,
title = {Automating Mid- and Long-Range Scheduling for NASA's Deep Space Network},
author = {M. Johnston and D. Tran and B. Arroyo and S. Sorensen and P. Tay and B. Carruth and A. Coffman and M. Wallace},
year = 2012,
month = {June},
booktitle = {International Conference On Space Operations (SpaceOps 2012)},
address = {Stockholm, Sweden},
url = {https://trs.jpl.nasa.gov/bitstream/handle/2014/42582/12-1825.pdf},
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 S 3 . 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 S 3 is complete and the system has been operational since July 2011. S 3 has been used for negotiating schedules since April 2011, including the baseline schedules for three launching missions in late 2011. S 3 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 S 3 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 S 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.},
project = {SSS}
}Downloads: 22
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