Dynamic Adaptation of Virtual Network Capacity for Deterministic Service Guarantees

Abstract

We consider the case of a virtual data network comprised of a set of end-to-end virtual leased lines. Our work aims at tackling the aspect of appropriate dynamic dimensioning of end-to-end paths subject to minimizing the consumed resources under the constraint of providing deterministic QoS guarantees. In particular, we propose a novel application of fuzzy logic control in order to dynamically adjust the resources assigned to one path to variations of traffic traversing that path. We design the required fuzzy sets and the respective rule base of the controller and evaluate its asymptotic stability and performance. As controller input a measure of the traffic variation shall be averaged over a variable size window. We design a second fuzzy logic controller in order to adapt this averaging window, such that significant traffic variations are captured while the measurement overhead during periods of nearly time invariant traffic characteristics is reduced.