经验VBR过程非平稳模型的性能分析

Y. Won, Soohan Ahn, J. Jeon
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引用次数: 6

摘要

经验VBR过程的一个长期观察到的特征是其缓慢衰减的样本自相关性。在这项工作中,我们使用非平稳模型解释了经验VBR的缓慢衰减样本自相关性,该模型很好地反映了VBR过程的随机特性。我们的模型生成的合成序列具有与经验VBR过程相同的周期特征和缓慢衰减的样本自相关性。仿真实验结果表明,该模型在丢包和丢包突发性方面对经验过程的随机行为有较好的预测。我们的工作结果不仅有助于对观测到的VBR流量特性提供理论解释,而且有助于开发一种有效的方法来生成用于各种工程目的的合成序列。
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Performance analysis of non-stationary model for empirical VBR process
A long-observed characteristic of empirical VBR process is its slowly decaying sample autocorrelations. In this work, we explain slowly decaying sample autocorrelations of the empirical VBR using the non-stationary model, which well reflects the stochastic characteristics of VBR process. Our model generates the synthetic sequence which has the same periodic characteristics as well as slowly decaying sample autocorrelations of the empirical VBR process. Simulation experiment results confirm that the proposed model provides satisfiably good projection on stochastic behavior of the empirical process in terms of packet loss and burstiness of packet loss. The result of our work not only contributes to providing the theoretical explanation on the observed characteristics of VBR traffic but also contributes to developing an efficient method for generating a synthetic sequence for various engineering purposes.
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