J. G. Dai (The Chinese University of Hong Kong), J. Michael Harrison (Stanford University, California)
This state-of-the-art account unifies material developed in journal articles over the last 35 years, with two central thrusts: It describes a broad class of system models that the authors call 'stochastic processing networks' (SPNs), which include queueing networks and bandwidth sharing networks as prominent special cases; and in that context it explains and illustrates a method for stability analysis based on fluid models. The central mathematical result is a theorem that can be paraphrased as follows: If the fluid model derived from an SPN is stable, then the SPN itself is stable. Two...
This state-of-the-art account unifies material developed in journal articles over the last 35 years, with two central thrusts: It describes a broad cl...
