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Fault Identification from Web Log Files by Pattern Discovery

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  • M. S. Anbarasi
  • B. Vasanthi

Abstract

In current scenario, the existing Web log files are informative based on website. However, even fault occurrence is high as the data increases tremendously. Because of fault occurrence, the browser provides fault pages with the pages to be searched pages. The manual process is not possible because of large amount of complex data. In the existing systems, identifying failure occurrence in web log file is difficult and time-consuming task. The basic reason is the large size and complexity of these systems, and the vast amount of monitoring data they generate. In existing system, fault identification technique does not provide maximum accuracy to improve the website. To overcome this problem the proposed system applying faults identification technique in efficient way using naïve sting matching algorithm with enhanced graph grammar[2] applied and then discover fault patterns from that browser find out root cause of failure.

Suggested Citation

  • M. S. Anbarasi & B. Vasanthi, 2017. "Fault Identification from Web Log Files by Pattern Discovery," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(2), pages 579-583, April.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit172278
    Note: Article URL: https://ijsrcseit.com/CSEIT172278
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