• DocumentCode
    2377604
  • Title

    OpenSESAME: an intuitive dependability modeling environment supporting inter-component dependencies

  • Author

    Walter, Max ; Trinitis, Carsten ; Karl, Wolfgang

  • Author_Institution
    LRR, Technische Univ. Munchen, Germany
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    76
  • Lastpage
    83
  • Abstract
    The paper proposes a novel modeling method for the evaluation of dependability measures of highly available systems. The proposed method, which has been implemented in the tool OpenSESAME (Simple but Extensive Structured Availability Modeling Environment), combines the advantages of Boolean methods and state space based methods. The tool supports the modeler with a set of well-defined, structured, intuitive input diagrams and tables, which are automatically transformed into GSPNs (Generalized Stochastic Petri Nets) for evaluation. To show the usefulness of the proposed method, it is applied to a model of a typical CompactPCI-based high availability system as can be found in the telecommunications area
  • Keywords
    Boolean algebra; Petri nets; fault tolerant computing; open systems; state-space methods; stochastic processes; Boolean methods; CompactPCI-based high availability system; GSPNs; Generalized Stochastic Petri Nets; OpenSESAME; Simple but Extensive Structured Availability Modeling Environment; dependability measures; highly available systems; inter-component dependencies; intuitive dependability modeling environment; intuitive input diagrams; modeling method; state space based methods; telecommunications area; Availability; Checkpointing; Costs; Hardware; Heart beat; Petri nets; Redundancy; State-space methods; Stochastic processes; Telecommunication computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable Computing, 2001. Proceedings. 2001 Pacific Rim International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    0-7695-1414-6
  • Type

    conf

  • DOI
    10.1109/PRDC.2001.992683
  • Filename
    992683