future internet 2012
Adaptive Measurement-Based Policy-Driven QoS Management with Fuzzy-Rule-based Resource Allocation
Yerima, Suleiman Y., Parr, Gerard P., McClean, Sally I., Morrow, Philip J.
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.
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- Telecommunications > Networks (0.93)
- Information Technology > Networks (0.93)
- Transportation (0.68)
- Information Technology > Software (1.00)
- Information Technology > Communications > Networks (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Fuzzy Logic (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Rule-Based Reasoning (1.00)