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Novel distributed call admission control solution based on machine learning approach

Bashar, Abul, Parr, Gerard, McClean, Sally, Bryan, Scotney and Nauck, Detlef (2011) Novel distributed call admission control solution based on machine learning approach. In: IFIP/IEEE International Symposium on Integrated Network Management, Dublin, Ireland. IEEE. 11 pp. [Conference contribution]

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DOI: 10.1109/INM.2011.5990495

Abstract

The advent of IP-based Next Generation Network (NGN) and its guaranteed QoS promise has attracted significant attention from both service providers and subscribers. However, to fulfil the said promise, there is a need to provide effective Call Admission Control (CAC) based QoS provisioning solutions which are autonomous, intelligent and scalable.

Item Type:Conference contribution (Poster)
Keywords:Bayesian methods , Call admission control , Delay , Machine learning , Next generation networking , Predictive models , Support vector machines
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:21995
Deposited By: Dr Cathryn Peoples
Deposited On:08 May 2012 15:12
Last Modified:08 May 2012 15:12

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