Title :
AI-based network management for the Defense Switched Network
Author :
Shah, Syed ; Arellano, Patricia
Author_Institution :
Defense Commun. Eng. Center, Reston, VA, USA
fDate :
30 Sep-3 Oct 1990
Abstract :
The development, features, and preliminary test results of artificial intelligence (AI) based network management support systems for the Defense Switched Network (DSN) are described. These systems use neural network and expert system technology packaged into workstations, each providing a user-friendly interface and graphical displays. The systems are designed to diagnose anomalies and network stress conditions based on real-time network traffic and switch status reports and recommend appropriate network controls to the DSN controller
Keywords :
expert systems; military computing; neural nets; telecommunication network management; telecommunications computer control; user interfaces; AI-based network management; DSN; Defense Switched Network; artificial intelligence; expert system technology; graphical displays; network control; network stress conditions; neural network technology; real-time network traffic; switch status reports; user-friendly interface; Artificial intelligence; Artificial neural networks; Control systems; Diagnostic expert systems; Displays; Packaging; Stress control; Switches; System testing; Workstations;
Conference_Titel :
Military Communications Conference, 1990. MILCOM '90, Conference Record, A New Era. 1990 IEEE
Conference_Location :
Monterey, CA
DOI :
10.1109/MILCOM.1990.117575
