• DocumentCode
    657504
  • Title

    Characteristic analysis of quantitative definition of resiliency measure

  • Author

    Chao Luo ; Okamura, Hiroyuki ; Dohi, Tadashi

  • Author_Institution
    Dept. of Inf. Eng., Hiroshima Univ., Higashi-Hiroshima, Japan
  • fYear
    2013
  • fDate
    4-7 Nov. 2013
  • Firstpage
    11
  • Lastpage
    12
  • Abstract
    Resiliency (resilience) is one of the important criteria for evaluating the sturdiness of systems. The resiliency is generally defined as the ability of resistance from disturbance that is caused by sudden changes of system configuration. However, there is no formal quantitative definition of system resiliency. In this paper, we propose the quantification of system resiliency by using continuous time Markov chains (CTMCs). According to probabilistic models, we formulate the quantification resiliency for performance indices of the system by two methods. Also, we discuss the applicability of our quantification of resiliency and compare the effectiveness of two definitions through numerical examples.
  • Keywords
    Markov processes; software reliability; CTMC; characteristic analysis; continuous time Markov chains; probabilistic models; system resiliency measure; Computational modeling; Markov processes; Mathematical model; Numerical models; Proposals; Resilience; System performance; Markov reward process; continuous time Markov chains; performance evaluation; system resiliency;
  • 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.2013.6688852
  • Filename
    6688852