SLA Establishment with Guaranteed QoS in the Interdomain Network: A Stock Model

TL;DR

This paper introduces a stock model for guaranteed QoS in interdomain networks, enabling transit providers to learn optimal capacities through an iterative, distributed process despite incomplete information.

Contribution

It presents a novel distributed stock model based on reverse cascade approach for resource management and QoS guarantees in interdomain routing.

Findings

Model converges quickly to a stable state

Providers learn to optimize capacities strategically

Effective in a simple simulation scenario

Abstract

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.