Stochastic Traffic Engineering for Demand Uncertainty and Risk-Aware Network Revenue Management

We present a stochastic traffic engineering framework for optimizing bandwidth provisioning and route selection in networks. Traffic demands are uncertain and specific by probabililty distributions, and the objective is to maximize a risk-adjusted measure of network revenue that is generated by serving demands.