DocumentCode
1994586
Title
A new hybrid alarm correlation scheme for MPLS-enabled backbone networks
Author
Yu, Ming ; Li, Wenjui ; Chong, Lijin
Author_Institution
Dept. of Electr. & Comput. Eng., State Univ. of New York, Binghamton, NY, USA
Volume
2
fYear
2005
fDate
16-18 Nov. 2005
Abstract
As current backbone network evolution involves replacing today´s multiple networks with a single global multiprotocol label switching (MPLS)-enabled backbone over an intelligent optical IP-based core network, alarm correlation becomes critical for fault management system (FMS) to monitor network health, performance, and to quickly identify and resolve operational problems. In this paper, we propose a hybrid technique to efficiently correlate these MPLS alarms to other equipment and service alarms, including event aggregation, rule-based method, and codebook approach. The hybrid technique combines the advantages of small size codebooks and simple expert rules for correlation at each level of the hierarchy. Extensive testing results obtained from real-world network experiments have been reported to demonstrated the effectiveness of the proposed correlation scheme.
Keywords
IP networks; computer network management; computer network reliability; intelligent networks; multiprotocol label switching; optical correlation; optical fibre networks; MPLS; backbone networks; codebook approach; event aggregation; fault management system; hybrid alarm correlation scheme; intelligent optical IP-based core network; multiprotocol label switching; rule-based method; Artificial intelligence; Asynchronous transfer mode; Engines; Fault diagnosis; Flexible manufacturing systems; Frame relay; Multiprotocol label switching; Network topology; Protocols; Spine; MPLS; event correlation; fault management; network;
fLanguage
English
Publisher
ieee
Conference_Titel
Networks, 2005. Jointly held with the 2005 IEEE 7th Malaysia International Conference on Communication., 2005 13th IEEE International Conference on
ISSN
1531-2216
Print_ISBN
1-4244-0000-7
Type
conf
DOI
10.1109/ICON.2005.1635628
Filename
1635628
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