Probabilistic fault diagnosis for IT services in noisy and dynamic environments
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
Event handling in clean-slate future internet management
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
An Intelligent Alarm Management System for Large-Scale Telecommunication Companies
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Peer-to-peer coupled agent systems for distributed situation management
Information Fusion
Spatial-temporal event correlation
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Spatio-temporal patterns in network events
Proceedings of the 6th International COnference
Behavioural Proximity Discovery: an adaptive approach for root cause analysis
International Journal of Business Intelligence and Data Mining
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When event correlation was first used in integrated management, in the early 1980s, several techniques devised by the artificial intelligence and database communities were applied to network element management for analyzing alarms sent by expensive, self-monitoring telephone switches. Today, it is used for detecting faults in wireless networks, for monitoring the performance of commodity, often non-self-aware devices in enterprise networks, for detecting intrusions in firewalls, for ascribing breaches in service level agreements to specific problems in the underlying IT infrastructure, etc. In other words, the problem to be solved has changed completely. Can today's event correlators still meet customers' expectations? If not, how should they evolve to meet them? In this paper, we try to capture the main lessons learned by the integrated management community in event correlation in the past 25 years, and to identify important challenges that we are faced with. By doing this, we hope to streamline and encourage research in this field, which needs better models, algorithms and systems to deal with ever more complex and integrated networks, systems and services.