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Investigation of the Multimedia Adaptive Threshold Strategy for Mobile Integrated Services Networks

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Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance (MMB&DFT 2010)

Abstract

We present and investigate the multi class extension of the recently proposed analytical model for performance evaluation of a bandwidth allocation and admission control scheme in mobile integrated services networks – called MATS. The proposed model allows for a prioritization of different service classes and for considering different levels of QoS requirements. The MATS scheme is based on bandwidth units and it implements an upgrade / degrade (u-d) mechanism. This mechanism maintains the negotiated QoS levels of connections as good as possible and prevents connections from getting lost (blocked, dropped) at the same time. Instead of focusing only on the traditional metrics, we propose two new metrics to evaluate the relative frequency of the u-d mechanism and to measure the provided QoS level. A comparison with other recently published schemes concludes that our proposed scheme is mandatory if it is essential to respect the priority among classes and shows good performance from both user and service provider perspectives. Simulation results counter check the results of the Markov model and show its applicability for non-Markovian service time distributions.

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de Nitto Personè, V., Pillekeit, A., Iacari, M. (2010). Investigation of the Multimedia Adaptive Threshold Strategy for Mobile Integrated Services Networks. In: MĂ¼ller-Clostermann, B., Echtle, K., Rathgeb, E.P. (eds) Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance. MMB&DFT 2010. Lecture Notes in Computer Science, vol 5987. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12104-3_13

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  • DOI: https://doi.org/10.1007/978-3-642-12104-3_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12103-6

  • Online ISBN: 978-3-642-12104-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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