The many flows asymptotic for queueing systems was introduced by Alan Weiss in 1986 is a natural asymptotic for large systems. In this talk we introduce a novel scaling framework for this asymptotic and examine how various results relate to each other.
To introduce the framework we consider a simple Markovian example before exploring some of the sample path large deviations principles obtainable. We then utilize these results to gain a better insight into the multiplexing gain obtained from pooling resources. Finally we introduce some open problems which are thrown up by this new framework.
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