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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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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 16:12 |
| Last Modified: | 08 May 2012 16:12 |
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