• DocumentCode
    2347296
  • Title

    Probabilistic Model of System Survivability

  • Author

    Zhao, Yongxin ; Huang, Yanhong ; Li, Jianwen ; Zhu, Huibiao

  • Author_Institution
    Shanghai Key Lab. of Trustworthy Comput., East China Normal Univ., Shanghai, China
  • fYear
    2010
  • fDate
    25-27 Aug. 2010
  • Firstpage
    193
  • Lastpage
    200
  • Abstract
    The paper completely formalizes the concept of system survivability on the basis of Knight´s research. We present a computable probabilistic model of survivable system which is divided into two layers, i.e. the function and service. The probabilistic refinement is introduced to reason about the survivable system, which is modeled by a probabilistic choice of accepted services with respect to the operating environment. Furthermore, we present an elegant survivability specification and the differences with Knight´s related works are discussed. The command-and-control example is also revisited in our framework.
  • Keywords
    fault tolerant computing; probability; command-and-control; operating environment; probabilistic model; probabilistic refinement; system survivability; Argon; Computational modeling; Probabilistic logic; Probability distribution; Semantics; Syntactics; Waste materials; probabilistic refinement; probability programs; survivability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Theoretical Aspects of Software Engineering (TASE), 2010 4th IEEE International Symposium on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-7847-7
  • Type

    conf

  • DOI
    10.1109/TASE.2010.15
  • Filename
    5587742