Title :
Novel distributed call admission control solution based on machine learning approach
Author :
Bashar, Abul ; Parr, Gerard ; Mcclean, Sally ; Scotney, Bryan ; Nauck, Detlef
Author_Institution :
Sch. of Comput. & Info. Eng., Univ. of Ulster, Coleraine, UK
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.
Keywords :
IP networks; distributed control; learning (artificial intelligence); next generation networks; quality of service; telecommunication congestion control; IP-based next generation network; QoS; call admission control; distributed call admission control; machine learning approach; Bayesian methods; Call admission control; Delay; Machine learning; Next generation networking; Predictive models; Support vector machines;
Conference_Titel :
Integrated Network Management (IM), 2011 IFIP/IEEE International Symposium on
Conference_Location :
Dublin
Print_ISBN :
978-1-4244-9219-0
Electronic_ISBN :
978-1-4244-9220-6
DOI :
10.1109/INM.2011.5990495
