Novel distributed call admission control solution based on machine learning approach

Abul Bashar, Gerard Parr, Sally McClean, Scotney Bryan, Detlef Nauck

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE
Pages871-881
Number of pages11
ISBN (Print)978-1-4244-9219-0 (print)
DOIs
Publication statusPublished - 18 Aug 2011
EventIFIP/IEEE International Symposium on Integrated Network Management - Dublin, Ireland
Duration: 18 Aug 2011 → …

Other

OtherIFIP/IEEE International Symposium on Integrated Network Management
Period18/08/11 → …

Keywords

  • Bayesian methods
  • Call admission control
  • Delay
  • Machine learning
  • Next generation networking
  • Predictive models
  • Support vector machines

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