KBAC: Knowledge-Based Admission Control

Abstract : 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.
Complete list of metadatas

Cited literature [17 references]  Display  Hide  Download

https://hal.inria.fr/hal-00695335
Contributor : Doreid Ammar <>
Submitted on : Monday, May 7, 2012 - 6:24:25 PM
Last modification on : Thursday, November 21, 2019 - 2:32:09 AM
Long-term archiving on: Friday, November 30, 2012 - 11:25:17 AM

File

RR-7955.pdf
Publisher files allowed on an open archive

Identifiers

  • HAL Id : hal-00695335, version 1

Citation

Doreid Ammar, Thomas Begin, Isabelle Guérin Lassous, Ludovic Noirie. KBAC: Knowledge-Based Admission Control. [Research Report] RR-7955, INRIA. 2012. ⟨hal-00695335⟩

Share

Metrics

Record views

586

Files downloads

455