Abstract
The Markov modulated fluid model with finite buffer of size β is analyzed using a stochastic discretization yielding a sequence of finite waiting room queueing models with iid amounts of work distributed as exp (n?). The n-th approximating queue's system size is bounded at a value qn such that the corresponding expected amount of work qn/(n?) ? β as n ? ?. We demonstrate that as n ? ?, we obtain the exact performance results for the finite buffer fluid model from the processes of work in the system for these queues. The necessary (strong) limit theorems are proven for both transient and steady state results. Algorithms for steady state results are developed fully and illustrated with numerical examples.
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