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Yerima, Suleiman Y., Parr, Gerard P. 
ORCID: https://orcid.org/0000-0002-9365-9132, McClean, Sally L. and Morrow, Philip J.
(2012)
Adaptive measurement-based policy-driven QoS management with fuzzy-rule-based resource allocation.
Future Internet, 4 (3).
pp. 646-671.
ISSN 1999-5903
Abstract
Fixed and wireless networks are increasingly converging towards common connectivity with IP-based core networks. Providing effective end-to-end resource and QoS management in such complex heterogeneous converged network scenarios requires unified, adaptive and scalable solutions to integrate and co-ordinate diverse QoS mechanisms of different access technologies with IP-based QoS. Policy-Based Network Management (PBNM) is one approach that could be employed to address this challenge. Hence, a policy-based framework for end-to-end QoS management in converged networks, CNQF (Converged Networks QoS Management Framework) has been proposed within our project. In this paper, the CNQF architecture, a Java implementation of its prototype and experimental validation of key elements are discussed. We then present a fuzzy-based CNQF resource management approach and study the performance of our implementation with real traffic flows on an experimental testbed. The results demonstrate the efficacy of our resource-adaptive approach for practical PBNM systems.
| Item Type: | Article |
|---|---|
| Additional Information: | This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0). |
| 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: | 15 Nov 2016 17:00 |
| Last Modified: | 14 Mar 2023 08:32 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/61367 |
| DOI: | 10.3390/fi4030646 |
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