Bashar, Abul, Parr, Gerard ORCID: https://orcid.org/0000-0002-9365-9132, McClean, Sally, Scotney, Bryan and Nauck, Detlef (2011) Novel distributed call admission control solution based on machine learning approach. In: Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011. The Institute of Electrical and Electronics Engineers (IEEE), IRL, pp. 871-881. ISBN 978-1-4244-9219-0
Full text not available from this repository. (Request a copy)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: | Book Section |
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Faculty \ School: | Faculty of Science > School of Computing Sciences |
UEA Research Groups: | Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory |
Depositing User: | Pure Connector |
Date Deposited: | 24 Sep 2016 01:07 |
Last Modified: | 14 Mar 2023 08:36 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/60520 |
DOI: | 10.1109/INM.2011.5990495 |
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