TIMING BEHAVIOR ANOMALY DETECTION IN ENTERPRISE INFORMATION SYSTEMS
Matthias Rohr, Simon Giesecke, Wilhelm Hasselbring
2007
Abstract
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.
References
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Paper Citation
in Harvard Style
Rohr M., Giesecke S. and Hasselbring W. (2007). TIMING BEHAVIOR ANOMALY DETECTION IN ENTERPRISE INFORMATION SYSTEMS . In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-972-8865-88-7, pages 494-497. DOI: 10.5220/0002412004940497
in Bibtex Style
@conference{iceis07,
author={Matthias Rohr and Simon Giesecke and Wilhelm Hasselbring},
title={TIMING BEHAVIOR ANOMALY DETECTION IN ENTERPRISE INFORMATION SYSTEMS},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2007},
pages={494-497},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002412004940497},
isbn={978-972-8865-88-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - TIMING BEHAVIOR ANOMALY DETECTION IN ENTERPRISE INFORMATION SYSTEMS
SN - 978-972-8865-88-7
AU - Rohr M.
AU - Giesecke S.
AU - Hasselbring W.
PY - 2007
SP - 494
EP - 497
DO - 10.5220/0002412004940497