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Switching theory approach to alarm correlation in network management
Resource type
Authors/contributors
- Aboelela, E (Author)
- Douligeris, Christos (Author)
Title
Switching theory approach to alarm correlation in network management
Abstract
Several working or experimental management systems use expert systems techniques for fault management purposes. Although the effort in the area is still growing, most of the expert fault management systems developed were built in an ad-hoc and unstructured basis simply transferring the knowledge of the human expert into an automated system. However, to meet future challenges, a theoretical foundation for fault management must be established aiming to bridge the gap between the working systems and research, and to provide a general structured model easily expandable to future networks. In this paper an algorithm is proposed to simplify the set of clustered alarms. This algorithm is based on the techniques widely used in the Logic Design field to simplify switching functions. The performance of the proposed algorithm is analyzed and the results are compared to those of a traditional algorithm.
Proceedings Title
Local Computer Networks
Publisher
IEEE
Place
Piscataway, NJ, United States
Date
2000
Pages
452-461
ISBN
07421303 (ISSN)
Citation Key
pop00096
Language
English
Extra
0 citations (Crossref) [2023-10-31]
tex.type: Proceedings paper
Citation
Aboelela, E., & Douligeris, C. (2000). Switching theory approach to alarm correlation in network management. Local Computer Networks, 452–461. https://doi.org/10.1109/LCN.2000.891083
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