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Future Internet 2012, 4, 646-671; doi:10.3390/fi4030646 OPEN ACCESS future internet ISSN 1999-5903 /journal/futureinternet Article Adaptive Measurement-Based Policy-Driven QoS Management with Fuzzy-Rule-based Resource Allocation Suleiman Y. Yerima 1,*, Gerard P. Parr 2, Sally I. McClean 2 and Philip J. Morrow 2 1 Centre for Secure Information Technologies, Queen’s University, Belfast, Northern Ireland, BT3 9DT, UK 2 School of Computing and Information Engineering, University of Ulster, Northern Ireland, BT52 1SA, UK; E-Mails: gp.parr@ulster.ac.uk (G.P.P.); si.mcclean@ulster.ac.uk (S.I.M.); pj.morrow@ulster.ac.uk (P.J.M.) * Author to whom correspondence should be addressed; E-Mail: s.yerima@qub.ac.uk; Tel.: +44-028-9097-1896. Received: 26 January 2012; in revised form: 5 June 2012 / Accepted: 27 June 2012 / Published: 4 July 2012 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 Netwo