Adaptive Measurement-Based Policy-Driven QoS Management with Fuzzy-Rule-based Resource Allocation

Suleiman Y. Yerima, Gerard P. Parr, Sally I. McClean and Philip J. Morrow
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Suleiman Y. Yerima: Centre for Secure Information Technologies, Queen’s University, Belfast, Northern Ireland, BT3 9DT, UK
Gerard P. Parr: School of Computing and Information Engineering, University of Ulster, Northern Ireland, BT52 1SA, UK
Sally I. McClean: School of Computing and Information Engineering, University of Ulster, Northern Ireland, BT52 1SA, UK
Philip J. Morrow: School of Computing and Information Engineering, University of Ulster, Northern Ireland, BT52 1SA, UK

Future Internet, 2012, vol. 4, issue 3, 1-26

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.

Keywords: policy-based network management; fuzzy logic; resource allocation; admission control; resource management; converged networks (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2012
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