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Moments And Tails In Monotone-Separable Stochastic Networks

ANNALS OF APPLIED PROBABILITY, no. 2 (2004): 612-650

Cited: 56|Views25

Abstract

A network belongs to the monotone separable class if its state variables are homogeneous and monotone functions of the epochs of the arrival process. This framework, which was first introduced to derive the stability region for stochastic networks with stationary and ergodic driving sequences, is revisited. It contains several classical q...More

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