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Intelligent Agents in Knowledge Acquisition and Structuring for the Fault Diagnosis of Virtualized Systems

Author

Listed:
  • Florin Postolache

    (Danubius University of Galati)

  • Viorel Ariton

    (Danubius University of Galati)

  • Florentina Loredana Tache

    (Dunarea de Jos” University of Galati,)

  • Catalin Nachila

    („Petrol – Gaze” University of Ploiesti)

  • Alin Constantin Filip

    (Danubius University of Galati)

Abstract

The knowledge acquisition concerning the behavior at the fault of the complex systems is a systematic process, first, by the presentation of the processes, procedures and stages that occur throughout of a acquisition project of knowledge. Also, a good knowledge of the system, with all its features, is a good decisive factor concerning the successful realization of the knowledge acquisition. In addition, for the fault diagnosis it is required the knowledge and the knowledge acquisition for the fault behavior (anomaly/symptoms and manifestations, granularity of the defects, relations between them in various operating environments).

Suggested Citation

  • Florin Postolache & Viorel Ariton & Florentina Loredana Tache & Catalin Nachila & Alin Constantin Filip, 2010. "Intelligent Agents in Knowledge Acquisition and Structuring for the Fault Diagnosis of Virtualized Systems," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 3(3), pages 141-161, August.
    • Handle: RePEc:dug:actaec:y:2010:i:3:p:141-161
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    File URL: http://journals.univ-danubius.ro/index.php/oeconomica/article/view/706/646
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    References listed on IDEAS

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    1. Viorel Ariton & Vasile Palade & Florin Postolache, 2008. "Combined Deep And Shallow Knowledge In A Unified Model For Diagnosis By Abduction," EuroEconomica, Danubius University of Galati, issue 1(20), pages 33-42, March.
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