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Sistemy i Sredstva Informatiki [Systems and Means of Informatics], 2008, , special issue, Pages 16–31 (Mi ssi152)  

This article is cited in 1 scientific paper (total in 1 paper)

An approach to classification of computer systems faults localization models

Sergey Frenkela, Eugene Levnerb, Victor Zakharova

a Institute of Informatics Problems, Russian Academy of Sciences, Moscow, Russia
b Holon Institute of Technology, Holon, Israel
Full-text PDF (212 kB) Citations (1)
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Abstract: This paper suggests a characterization of fault localization strategies and a classification of probability-based search algorithms, which are widely used in the current practice of complex computer systems and networks systems maintenance and service. The characterization is performed in terms of some tuples including: characteristics of fault models, localization procedures, cost functions, and other factors. Such characterization (and an induced classification) can be used for a rational choice of search algorithms at early system design stages, for development of strategies of possible fault localization during the target systems maintenance and service. Search algorithms classification is based on the special notation like those used in the queuing theory.
Document Type: Article
Language: English
Citation: Sergey Frenkel, Eugene Levner, Victor Zakharov, “An approach to classification of computer systems faults localization models”, Sistemy i Sredstva Inform., 2008, special issue, 16–31
Citation in format AMSBIB
\Bibitem{FreLevZak08}
\by Sergey Frenkel, Eugene Levner, Victor Zakharov
\paper An approach to classification of computer systems faults localization models
\jour Sistemy i Sredstva Inform.
\yr 2008
\pages 16--31
\issueinfo special issue
\mathnet{http://mi.mathnet.ru/ssi152}
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  • https://www.mathnet.ru/eng/ssi152
  • https://www.mathnet.ru/eng/ssi/v18/i4/p16
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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