On the applicability and utility of Gaussian models for broadband traffic

R. Addie
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引用次数: 8

Abstract

Gaussian traffic models for high speed communication networks have received an increasing amount of attention. There are some puzzling and counter-intuitive features to deal with, such as negative traffic. However, on the plus side, the central limit theorem can be invoked to argue that traffic will become closer to Gaussian as more and more of it is aggregated together. The Gaussian model has a number of interesting implications for connection admission control and network architecture, which are discussed in this paper. Finally, there is an important distinction between continuous time and discrete time models which we need to make. It appears that the continuous time Gaussian models currently under study are significantly different from the discrete time models discussed in this paper.
高斯模型在宽带业务中的适用性和实用性
高速通信网络的高斯流量模型受到越来越多的关注。还有一些令人困惑和违反直觉的特性需要处理,比如负流量。然而,从好的方面来看,中心极限定理可以用来证明,随着越来越多的交通聚集在一起,交通将变得更接近高斯分布。高斯模型在连接允许控制和网络结构方面有许多有趣的含义,本文将对此进行讨论。最后,我们需要区分连续时间模型和离散时间模型。目前研究的连续时间高斯模型与本文讨论的离散时间模型明显不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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