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AI-based QoS Profiling for NGN User Terminals
Weber F, Fuhrmann W, Trick U, Bleimann U, Ghita BV
Proceedings of the Third International Conference on Internet Technologies and Applications (ITA09), Wrexham, UK, ISBN: 978-0-946881-65-9, pp539-548, 2009
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This paper addresses the identification of NGN (Next Generation Networks) user terminals experiencing similar QoS (Quality of Service) conditions. This information is useful regarding the identification of adequate QoS monitoring points in order to provide a resource-saving QoS monitoring approach. An ART 2 neural network has been evaluated for the comparison and classification of sequences of consecutive jitter (delay variation) values experienced by packets of simultaneous multimedia over IP data streams. A test bed has been set up, and test results are presented within this paper.

Weber F, Fuhrmann W, Trick U, Bleimann U, Ghita BV