• DocumentCode
    657534
  • Title

    Failure data analytics to build failure prediction mechanisms

  • Author

    Dey, Shuvashis ; Jacob, Kandathil Koshy ; Lopez, Jesus A. ; Trivedi, Khushbu

  • fYear
    2013
  • fDate
    4-7 Nov. 2013
  • Firstpage
    102
  • Lastpage
    103
  • Abstract
    With ever-growing complexity of computer systems, proactive failure management is turning out to be an effective and essential approach for enhancing availability. Several techniques have been proposed to develop failure prediction models [3]. In this paper we have concentrated on the process to build up a failure prediction model based on the failure reports (service ticket logs) from hardware storage devices.
  • Keywords
    data analysis; fault tolerant computing; system recovery; availability enhancement; computer system complexity; failure data analytics; failure prediction mechanisms; failure reports; hardware storage devices; proactive failure management; service ticket logs; Analytical models; Computational modeling; Computers; Hardware; History; Maintenance engineering; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Reliability Engineering Workshops (ISSREW), 2013 IEEE International Symposium on
  • Conference_Location
    Pasadena, CA
  • Type

    conf

  • DOI
    10.1109/ISSREW.2013.6688883
  • Filename
    6688883