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Proceedings Paper

Knowledge-Based Network Operations
Author(s): Chuan-lin Wu; Chaw-Kwei Hung; Steven P. Stedry; James P. McClure; Show-Way Yeh
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Paper Abstract

An expert system is being implemented for enhancing operability of the Ground Communication Facility (GCF) of Jet Propulsion Laboratory's (JPL) Deep Space Network (DSN). The DSN is a tracking network for all of JPL's spacecraft plus a subset of spacecrafts launched by other NASA centers. A GCF upgrade task is set to replace the current GCF aging system with new, modern equipments which are capable of using knowledge-based monitor and control approach. The expert system, implemented in terms of KEE and SUN workstation, is used for performing network fault management, configuration management, and performance management in real-time. Monitor data are collected from each processor and DSCC's in every five seconds. In addition to serving as input parameters of the expert system, extracted management information is used to update a management information database. For the monitor and control purpose, software of each processor is divided into layers following the OSI standard. Each layer is modeled as a finite state machine. A System Management Application Process (SMAP) is implemented at application layer, which coordinates layer managers of the same processor and communicates with peer SMAPs of other processors. The expert system will be tuned by augmenting the production rules as the operation is going on, and its performance will be measured.

Paper Details

Date Published: 29 March 1988
PDF: 12 pages
Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.946957
Show Author Affiliations
Chuan-lin Wu, The University of Texas (United States)
Chaw-Kwei Hung, Jet Propulsion Laboratory (United States)
Steven P. Stedry, Jet Propulsion Laboratory (United States)
James P. McClure, Jet Propulsion Laboratory (United States)
Show-Way Yeh, The University of Texas (United States)


Published in SPIE Proceedings Vol. 0937:
Applications of Artificial Intelligence VI
Mohan M. Trivedi, Editor(s)

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