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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Suleiman Y. Yerima & Gerard P. Parr & Sally I. McClean & Philip J. Morrow, 2012. "Adaptive Measurement-Based Policy-Driven QoS Management with Fuzzy-Rule-based Resource Allocation," Future Internet, MDPI, vol. 4(3), pages 1-26, July.
    • Handle: RePEc:gam:jftint:v:4:y:2012:i:3:p:646-671:d:18698
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