Timing Behavior Anomaly Detection in Enterprise Information Systems

Rohr, Matthias, Giesecke, Simon and Hasselbring, Wilhelm (2007) Timing Behavior Anomaly Detection in Enterprise Information Systems [Paper] In: Proceedings of Ninth International Conference on Enterprise Information Systems (ICEIS'07), 12.-16. June 2007 , Funchal, Madeira, Portugal.


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Business-critical enterprise information systems (EIS) have to satisfy high availability requirements. In order to achieve the required availability, automatic failure detection and diagnosis techniques must be used. A major cause of failures in EIS are software faults in the application layer. In this paper, we propose to use anomaly detection to diagnose failures in the application layer of EIS. Anomaly detection aims to identify unusual system behavior in monitoring data. These anomalies can be valuable indicators for availability or security problems, and support failure diagnosis. In this paper we outline the basic principles of anomaly detection, present the state of the art, and typical application challenges. We outline a new approach for anomaly detection in Enterprise Information Systems that addresses some of these challenges.

Document Type: Conference or Workshop Item (Paper)
Keywords: Anomaly Detection, Failure Diagnosis., Software Engineering, Software Measurement
Research affiliation: Kiel University > Software Engineering
Date Deposited: 18 Feb 2012 06:05
Last Modified: 21 Sep 2013 19:20
URI: http://eprints.uni-kiel.de/id/eprint/14519

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