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A Lightweight, Scalable and Distributed Admission Control Algorithm for Voice Traffic

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Kulkarni, P., Dini, P., McClean, Sally, Parr, Gerard and Black, Michaela (2007) A Lightweight, Scalable and Distributed Admission Control Algorithm for Voice Traffic. In: IEEE International Conference on Communications, 2007. ICC '07, Glasgow, Scotland. IEEE. 6 pp. [Conference contribution]

Full text not available from this repository.

URL: http://dx.doi.org/10.1109/ICC.2007.97

DOI: doi:10.1109/ICC.2007.97

Abstract

The idea of carrying voice traffic on IP networks has been found to be very lucrative. However to achieve a quality similar to that offered by the existing telephone networks, the IP network should be in a position to honour the stringent quality of service (QoS) requirements of voice traffic. If traffic in excess of the network capacity is admitted into the network, QoS may be violated resulting in performance degradation. One way of providing sustained and consistent QoS is by regulating the number of voice calls that are admitted into the network such that the load on the network is less than or equal to the capacity of the network. This mechanism is known as call admission control. This paper proposes a scalable and distributed call admission control algorithm that operates at the network edge and factors the local passive measurements into the admission decision. Performance evaluation of the proposed algorithm through ns2 simulations reveals that it is successful in detecting rate mismatches (input rate greater than output rate) and subsequently rejecting admission requests (as long as input rate is greater than output rate) thereby delivering on the QoS guarantees demanded by voice applications. Moreover, it is simple and lightweight from an implementation perspective.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:14624
Deposited By:Professor Sally McClean
Deposited On:05 Aug 2010 12:08
Last Modified:28 Feb 2014 11:17

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