Knorn, Florian and Leith, Douglas J.
Adaptive Kalman filtering for anomaly detection
in software appliances.
In: 1st IEEE Workshop on Automated Network Management.
Availability and reliability are often important features
of key software appliances such as firewalls, web servers,
etc. In this paper we seek to go beyond the simple heartbeat
monitoring that is widely used for failover control. We do this by integrating more fine grained measurements that are readily available on most platforms to detect possible faults or the onset of failures. In particular, we evaluate the use of adaptive Kalman Filtering for automated CPU usage prediction that is then used to detect abnormal behaviour. Examples from experimental tests are given.
Conference or Workshop Item
||Kalman Filtering; Anomaly detection; Automated CPU usage; Hamilton Institute.
||Faculty of Science and Engineering > Computer Science
||08 Dec 2009 18:26
|Journal or Publication Title:
||1st IEEE Workshop on Automated Network Management
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