  The new model that we present in this paper is introduced in the context of
guaranteed QoS and resources management in the inter-domain routing framework.
This model, called the stock model, is based on a reverse cascade approach and
is applied in a distributed context. So transit providers have to learn the
right capacities to buy and to stock and, therefore learning theory is applied
through an iterative process. We show that transit providers manage to learn
how to strategically choose their capacities on each route in order to maximize
their benefits, despite the very incomplete information. Finally, we provide
and analyse some simulation results given by the application of the model in a
simple case where the model quickly converges to a stable state.
