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<p>An approach called MIDAS is described that supports the design of distributed systems via iterative refinement of hybrid models. A hybrid model is a partially implemented design where some components exist as simulation models and others as operational subsystems. It is an executable model and may be used to determine the stochastic performance characteristics of a partially elaborated design. MIDAS enhances the applicability of hybrid models in system design with its support for interrupts and its inclusion of distributed components in the partially implemented design. The authors describe how an existing simulation language may be extended to program hybrid models, and show how simulation algorithms may be adapted to execute hybrid models. A prototype MIDAS implementation is operational and was used to develop a set of applications. The experimental results of the exercise are also described.</p>
MIDAS; distributed systems; iterative refinement; hybrid models; partially implemented design; simulation models; operational subsystems; executable model; stochastic performance characteristics; partially elaborated design; system design; interrupts; distributed components; simulation language; simulation algorithms; distributed processing; interrupts; simulation languages; virtual machines

R. Bagrodia and C. Shen, "MIDAS: Integrated Design and Simulation of Distributed Systems," in IEEE Transactions on Software Engineering, vol. 17, no. , pp. 1042-1058, 1991.
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