Ulster University Logo

Ulster Institutional Repository

Novel distributed call admission control solution based on machine learning approach

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

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]

[img]PDF
3130Kb

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

Repository Staff Only: item control page