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.
Highlights
Generation networks are increasingly being characterized by the convergence of heterogeneous fixed and wireless access network technologies such as WiMAX, WLAN, xDSL, and Passive OpticalNetworks, etc. towards interconnectivity with IP-based core networks
We investigated service availability, blocking probability and bandwidth utilization obtained from admission control utilizing the fuzzy-based resource allocation
In this paper we presented a proposed Policy-Based Network Management (PBNM) framework for end-to-end QoS control in converged networks, CNQF (Converged Networks QoS Management Framework), together with its implementation and enhancements which have been evaluated on real testbed environments
Summary
Generation networks are increasingly being characterized by the convergence of heterogeneous fixed and wireless access network technologies such as WiMAX, WLAN, xDSL, and Passive OpticalNetworks, etc. towards interconnectivity with IP-based core networks. It is an effective means to equip networks with the ability to provide an automatic response to network conditions according to pre-defined policies, and is considered the best approach to ease the complex network configuration process involved in the integration of network services into a single large network [4,5]. These advantages of the PBNM approach and its well documented potential to facilitate QoS management in converged networks motivates its adoption as the underlying design paradigm for our proposed QoS management framework, CNQF (Converged Networks QoS Framework)
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