37th Annual IEEE Conference on Local Computer Networks (2012)
Clearwater Beach, FL, USA USA
Oct. 22, 2012 to Oct. 25, 2012
Doreid Ammar , Université Lyon 1 / LIP (UMR ENS Lyon - INRIA - CNRS - UCBL), France
Thomas Begin , Université Lyon 1 / LIP (UMR ENS Lyon - INRIA - CNRS - UCBL), France
Isabelle Guerin-Lassous , Université Lyon 1 / LIP (UMR ENS Lyon - INRIA - CNRS - UCBL), France
Ludovic Noirie , Alcatel-Lucent Bell Labs, Nozay, France
Many methods have been proposed in the literature to perform admission control in order to provide a sufficient level of Quality of Service (QoS) to accepted flows. In this paper, we introduce a novel data-driven method based on a time-varying model that we refer to as Knowledge-Based Admission Control solution (KBAC). Our KBAC solution consists of three main stages: (i) collect measurements on the on-going traffic over the communication link; (ii) maintain an up-to-date broad view of the link behavior, and feed it to a Knowledge Plane; (iii) model the observed link behavior by a mono-server queue whose parameters are set automatically and which predicts the expected QoS if a flow requesting admission were to be accepted. Our KBAC solution provides a probabilistic guarantee whose admission threshold is either expressed, as a bounded delay or as a bounded loss rate. We run extensive simulations to assess the behavior of our KBAC solution in the case of a delay threshold. The results show that our KBAC solution leads to a good trade-off between flow performance and resource utilization. This ability stems from the quick and automatic adjustment of its admission policy according to the actual variations on the traffic conditions.
Admission control, Delay, Loss measurement, Throughput, Aggregates
D. Ammar, T. Begin, I. Guerin-Lassous and L. Noirie, "KBAC: Knowledge-Based Admission Control," 37th Annual IEEE Conference on Local Computer Networks(LCN), Clearwater Beach, FL, USA USA, 2012, pp. 537-544.