Non-parametric and self-tuning measurement-based admission control

Authors:
Thomas Michael Bohnert;Edmundo Monteiro;Yevgeni Koucheryavy;Dmitri Moltchanov
Affiliations:
University of Coimbra Pinhal de Marrocos, Coimbra, Portugal;University of Coimbra Pinhal de Marrocos, Coimbra, Portugal;Tampere University of Technology, Tampere, Finland;Tampere University of Technology, Tampere, Finland
Venue:
NETWORKING'07 Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet
Year:
2007

Citing 15
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Abstract

The Measurement-based Admission Control algorithm presented in this paper has been devised to overcome three shortcomings. Firstly, its configuration parameter strictly correspond to standard QoS definitions in Service Level Agreements, namely packet loss probability. While this is featured by alternative designs too, the second issue, that of considerable performance fluctuations under varying traffic conditions, is a rather general problem. Applying a non-parametric approach the presented algorithm's estimation model is free from assumptions and simulations assert consistent performance for a set of various conditions. Finally, the third improvement is certainly most appealing, the algorithm's independence from fine-tuning. In fact, the optimal value of the performance determining parameter is being estimated from the measured sample. This makes the algorithm highly adaptive as well as autonomous and simulations confirm near optimal performance and accuracy.