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

Future Internet

Suleiman Y. Yerima²  Gerard P. Parr¹  Sally I. McClean¹ 

[1] School of Computing and Information Engineering, University of Ulster, Northern Ireland, BT52 1SA, UK;;Centre for Secure Information Technologies, Queen’s University, Belfast, Northern Ireland, BT3 9DT, UK

关键词: policy-based network management;    fuzzy logic;    resource allocation;    admission control;    resource management;    converged networks;   

DOI  :  10.3390/fi4030646

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.