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Network fault diagnosis using DSM

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Wuhan University Journal of Natural Sciences

Abstract

Difference similitude matrix (DSM) is effective in reducing information system with its higher reduction rate and higher validity. We use DSM method to analyze the fault data of computer networks and obtain the fault diagnosis rules. Through discretizing the relative value of fault data, we get the information system of the fault data. DSM method reduces the information system and gets the diagnosis rules. The simulation with the actual scenario shows that the fault diagnosis based on DSM can obtain few and effective rules.

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Authors and Affiliations

  1. School of Electronic Information, Wuhan University, 430072, Wuhan, Hubei, China

    Jiang Hao, Yan Pu-liu, Chen Xiao & Wu Jing

Authors
  1. Jiang Hao
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  2. Yan Pu-liu
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  3. Chen Xiao
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  4. Wu Jing
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Corresponding author

Correspondence to Yan Pu-liu.

Additional information

Foundation item: Supported by the National Natural Science Foundation of China (90204008)

Biography: Jiang Hao (1976-), male, Ph. D candidate, research direction: computer network, data mine.

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Hao, J., Pu-liu, Y., Xiao, C. et al. Network fault diagnosis using DSM. Wuhan Univ. J. Nat. Sci. 9, 63–67 (2004). https://doi.org/10.1007/BF02912720

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  • DOI: https://doi.org/10.1007/BF02912720

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