Integrated Network Management VI. Distributed Management for the Networked Millennium. Proceedings of the Sixth IFIP/IEEE Inter
DOI: 10.1109/inm.1999.770686
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A conceptual framework for network management event correlation and filtering systems

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Cited by 73 publications
(51 citation statements)
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“…Typical examples are found in telecommunications, with alarm correlation applications [HSV99], where signals from physical sources are entered in working memory, and higher-level events are synthesized and correlated by the rules, to eventually issue alarms to the operator. In such rule programs, executions often include the chaining of several rules, and the system state permanently evolves as new signals are inserted.…”
Section: Industrial Contextmentioning
confidence: 99%
“…Typical examples are found in telecommunications, with alarm correlation applications [HSV99], where signals from physical sources are entered in working memory, and higher-level events are synthesized and correlated by the rules, to eventually issue alarms to the operator. In such rule programs, executions often include the chaining of several rules, and the system state permanently evolves as new signals are inserted.…”
Section: Industrial Contextmentioning
confidence: 99%
“…And the event correlation is traditionally researched in the system management field. Hasan et al [8] describes simple models for causal and temporal correlation. Because of the characteristics of diagnosis, the event correlation engines in this field usually do not mention about persistency for correlation state, in contrast to the monitoring systems for BAM.…”
Section: Related Workmentioning
confidence: 99%
“…Most of those approaches require a priori knowledge about the network and are therefore static. They are ill-suited to networks with multiple layers of logical connectivity and could be greatly improved by the use of temporal correlation between events [13]. They scale poorly with the number of events to be processed, therefore approaches to eliminate insignificant events have been proposed, by manually setting filters that exclude specific devices or types of events from processing by an RCA algorithm.…”
Section: Introductionmentioning
confidence: 99%