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Titlebook: Broadband Communications; Convergence of Netwo Danny H. K. Tsang (Conference Chairman),Paul J. Kü Book 2000 IFIP International Federation f

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31#
發(fā)表于 2025-3-27 00:00:59 | 只看該作者
32#
發(fā)表于 2025-3-27 04:05:29 | 只看該作者
https://doi.org/10.1007/978-3-642-60577-2s application and platform independence and eliminates the need for built-in RSVP processing capability for those applications or terminals of short battery life and limited processing power. Moreover it facilitates dynamic QoS provision for wireless mobile devices during hand-off control.
33#
發(fā)表于 2025-3-27 05:29:21 | 只看該作者
Maximum Likelihood Estimation of the Parameters of Fractional Brownian Traffic with Geometrical Sampatrix and its determinant are introduced. The accuracy of the estimation algorithm is studied by simulations. Comparisons with corresponding estimates obtained with linear grid show that the geometrical sampling indeed improves the accuracy of the estimate . with a given number of samples.
34#
發(fā)表于 2025-3-27 12:19:11 | 只看該作者
35#
發(fā)表于 2025-3-27 17:13:26 | 只看該作者
36#
發(fā)表于 2025-3-27 18:11:14 | 只看該作者
37#
發(fā)表于 2025-3-27 22:59:13 | 只看該作者
38#
發(fā)表于 2025-3-28 02:41:43 | 只看該作者
,Werberichtlinien für Mediziner,ive periods of the arrival process. When applied to a single server with self-similar input, the model results in an explicit buffer level equation which matches Norros’ storage model. So this method can be also served as a verification of Norros’ assumptions. The effectiveness of the proposed model has been verified by some practical examples.
39#
發(fā)表于 2025-3-28 09:56:45 | 只看該作者
Betriebswirtschaftliches Basiswissen, the performance measure and try to estimate it by simulations. To do simulation efficiently, we develop a sampling technique which replaces the initial distribution of the reducible Markov chain with a new biased one. Simulation results show that the sampling technique is useful to reduce the variance of the estimates.
40#
發(fā)表于 2025-3-28 12:52:28 | 只看該作者
Buffer and Bandwidth Allocation for Diffserv Classeses a certain traffic with a certain statistical characteristics and the maximum packet delay corresponding to this class is found. The results are general and can be applied to other networks such as ATM.
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