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Because of the anticipated large number of sources, the actual bandwidth process should be closely approximated by its mean, by the law of large numbers (LLN) As in Duf eld and Whitt [14], the conditional mean can be thought of as a deterministic uid approximation; for example, see Chen and Mandelbaum [8] Since the withinlevel variation process has mean zero, the withinlevel variation process has no effect on this conditional mean Hence, the conditional mean of the aggregate bandwidth process is just the sum of the conditional means of the component level processes Unlike the more elementary M =G=I model considered in Duf eld and Whitt [14], however, the conditional mean here is not available in closed form In order to rapidly compute the timedependent conditional mean aggregate demand, we exploit numerical inversion of Laplace transforms. . 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