Stochastic automata networks have been used in the past with success to model parallel and distributed systems. It is our contention that they can also be used effectively to solve dependability models. These models possess characteristics that the SAN approach can exploit. In particular, the SAN approach completely eliminates the problem most often associated with this type of modelling, namely, the need for large amounts of computer memory. The only remaining difficulty is to show that the computation time is not excessive and this we attempt to do by providing a number of modelling strategems and numerical techniques designed to ensure that the time needed to compute solutions remains modest.


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    Title :

    Stochastic automata networks for dependability modelling


    Contributors:
    Stewart, W.J. (author) / Plateau, B. (author)


    Publication date :

    2000-01-01


    Size :

    1134749 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Stochastic Automata Networks For Dependability Modelling

    Stewart, W. J. / Plateau, B. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2000


    Dependability

    Firth, J. / Railway Industry Association | British Library Conference Proceedings | 1998


    Physical modelling of traffic with stochastic cellular automata

    Nagel,K. / Schreckenberg,M. / Los Alamos National Laboratory,US et al. | Automotive engineering | 1995


    Dependability

    Firth, J. / Railway Industry Association | British Library Conference Proceedings | 1996


    Physical Modelling of Traffic with Stochastic Cellular Automata

    Schreckenberg, M. / Nagel, K. | British Library Conference Proceedings | 1995