AI-based network management for the Defense Switched Network

Author

Shah, Syed ; Arellano, Patricia

Author_Institution

Defense Commun. Eng. Center, Reston, VA, USA

fYear

1990

fDate

30 Sep-3 Oct 1990

Firstpage

1058

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Military Communications Conference, 1990. MILCOM '90, Conference Record, A New Era. 1990 IEEE

Conference_Location

Monterey, CA

Type

conf

DOI

10.1109/MILCOM.1990.117575

Filename

117575