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

作者: Edmundo Monteiro , Yevgeni Koucheryavy , Dmitri Moltchanov , Thomas Michael Bohnert

DOI: 10.1007/978-3-540-72606-7_57

关键词:

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

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