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Multi-level Model-Based Self-diagnosis of Distributed Object-Oriented Systems

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Autonomic and Trusted Computing (ATC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4158))

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Abstract

Self-healing relies on correct diagnosis of system malfunctioning. This paper presents a use-case based approach to self-diagnosis. Both a static and a dynamic model of a managed-system are distinguished with explicit functional, implementational, and operational knowledge of specific use-cases. This knowledge is used to define sensors to detect and localise anomalies at the same three levels, providing the input needed to perform informed diagnosis. The models presented can be used to automatically instrument existing distributed legacy systems.

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Author information

Authors and Affiliations

  1. Vrije Universiteit Amsterdam, De Boelelaan 1081a, 1081, HV, Amsterdam, The Netherlands

    A. R. Haydarlou, B. J. Overeinder, M. A. Oey & F. M. T. Brazier

Authors
  1. A. R. Haydarlou
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  2. B. J. Overeinder
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  3. M. A. Oey
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  4. F. M. T. Brazier
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Editor information

Editors and Affiliations

  1. Department of Computer Science, St. Francis Xavier University, Antigonish, Canada

    Laurence T. Yang

  2. Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology, Huazhong University of Science and Technology, 430074, Wuhan, China

    Hai Jin

  3. Hosei University, 184-8584, Tokyo, Japan

    Jianhua Ma

  4. Department of Computer Science, University of Augsburg, 86135, Augsburg, Germany

    Theo Ungerer

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© 2006 Springer-Verlag Berlin Heidelberg

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Haydarlou, A.R., Overeinder, B.J., Oey, M.A., Brazier, F.M.T. (2006). Multi-level Model-Based Self-diagnosis of Distributed Object-Oriented Systems. In: Yang, L.T., Jin, H., Ma, J., Ungerer, T. (eds) Autonomic and Trusted Computing. ATC 2006. Lecture Notes in Computer Science, vol 4158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11839569_7

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  • DOI: https://doi.org/10.1007/11839569_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38619-3

  • Online ISBN: 978-3-540-38622-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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