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    Adaptive Kalman filtering for anomaly detection in software appliances

    Knorn, Florian and Leith, Douglas J. (2008) Adaptive Kalman filtering for anomaly detection in software appliances. In: 1st IEEE Workshop on Automated Network Management.

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    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.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Kalman Filtering; Anomaly detection; Automated CPU usage; Hamilton Institute.
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 1737
    Depositing User: Hamilton Editor
    Date Deposited: 08 Dec 2009 18:26
    Journal or Publication Title: 1st IEEE Workshop on Automated Network Management
    Refereed: Yes
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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