Perturbation Analysis and Resource Contention Games in Multiclass Stochastic Flow Models

We present a stochastic hybrid system framework for Stochastic Flow Models (SFMs) with multiple classes and class-dependent performance objectives. Using Infinitesimal Perturbation Analysis (IPA) estimators for the derivatives of such objectives, we formulate and solve resource contention games that contrast system-centric and user-centric optimization in such SFMs.