Model-based diagnosis for fault management in ATM networks

ATM networks require powerful management capabilities for configuration, performance, security and particularly fault management. International standard organizations and particularly the ATM Forum and ITU-T organization have proposed several recommendations to manage faults. However, the large size...

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Bibliographic Details
Published in1999 2nd International Conference on ATM. ICATM'99 (Cat. No.99EX284) pp. 91 - 99
Main Authors Osmani, A., Krief, F.
Format Conference Proceeding
LanguageEnglish
Published Piscataway NJ IEEE 1999
Subjects
Applied sciences
Artificial intelligence
Asynchronous transfer mode
Energy management
Exact sciences and technology
Fault detection
Fault diagnosis
Intelligent networks
Knowledge based systems
Operation, maintenance, reliability
Power system management
Quality of service
Systems, networks and services of telecommunications
Telecommunication network management
Telecommunications
Telecommunications and information theory
Teletraffic
Transmission and modulation (techniques and equipments)
Performance evaluation
Telecommunication network
Model specification
Theoretical study
Artificial intelligence
Service quality
Fault diagnostic
Asynchronous transmission
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Summary:ATM networks require powerful management capabilities for configuration, performance, security and particularly fault management. International standard organizations and particularly the ATM Forum and ITU-T organization have proposed several recommendations to manage faults. However, the large size and the high level of complexity of such networks requires new intelligent approaches. This article gives some examples of the existing formalisms and proposes an intelligent approach to build rule-based systems used to detect and to localize faults in ATM networks.
ISBN:9780780354289
0780354281
DOI:10.1109/ICATM.1999.786788