• DocumentCode
    127151
  • Title

    Recovery block fault tolerance considering correlated failures

  • Author

    Fiondella, Lance ; Zeephongsekul, Panlop

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Massachusetts - Dartmouth, Dartmouth, MA, USA
  • fYear
    2014
  • fDate
    27-30 Jan. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Software fault tolerance methods have been proposed to achieve high reliability. However, these methods suffer from the possibility of correlated failures, where the failure of multiple components leads to system failure. Furthermore, previous methods to assess the impact of correlated failure on software fault tolerance require extensive testing data and are therefore less suitable to conduct reliability analysis in the early design stages. This paper presents an approach to quantify the reliability of the recovery block method to software fault tolerance in terms of the reliability of the components and the correlations between the failures of these components. The approach is demonstrated through a series of examples. Our results indicate that the approach can quantify the negative impact of correlation on the recovery block. Thus, the approach can be used to identify correlations that may impede system reliability.
  • Keywords
    software fault tolerance; system recovery; correlated failure; recovery block fault tolerance; reliability analysis; software fault tolerance method; system failure; Correlation; Equations; Fault tolerance; Mathematical model; Software; Software reliability; Software fault-tolerance; correlated failures; multivariate Bernoulli distribution; recovery block;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium (RAMS), 2014 Annual
  • Conference_Location
    Colorado Springs, CO
  • Print_ISBN
    978-1-4799-2847-7
  • Type

    conf

  • DOI
    10.1109/RAMS.2014.6798525
  • Filename
    6798525