Knorn, Florian and Leith, Douglas J.
Adaptive Kalman filtering for anomaly detection in software appliances.
IEEE Conference on Computer Communications Workshops, 2008.
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.
||"©2008 IEEE. Reprinted from IEEE Conference on Computer Communications Workshops, 2008. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE."
||adaptive Kalman filters monitoring telecommunication network reliability
Adaptive Kalman filtering; Anomaly detection; Failover control; Heartbeat monitoring; Software appliances; INFOCOM; Hamilton Institute. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4544581&isnumber=4544573
||Science & Engineering > Computer Science
||15 Dec 2009 15:29
Repository Staff Only(login required)
||Item control page