Adaptive measurement-based policy-driven QoS management with fuzzy-rule-based resource allocation

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

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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 Faculty of Science > Research Groups > Data Science and AI
Depositing User:	Pure Connector
Date Deposited:	15 Nov 2016 17:00
Last Modified:	10 Dec 2024 01:28
URI:	https://ueaeprints.uea.ac.uk/id/eprint/61367
DOI:	10.3390/fi4030646

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