用em -算法用超指数逼近混合分布

M. Buranova, Dinara Ergasheva, V. Kartashevskiy
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引用次数: 3

摘要

现代信息通信网络发展迅速,网络的结构和应用的性质也在发生变化,这就需要新的方法来研究其功能参数。本文提出了用超指数分布近似G/G/1系统中任意概率密度问题的解决方法。此外,为了确定超指数分布的概率密度参数,提出了使用EM算法。给出了一个用H2/D2/1型系统逼近IP网络流量的实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using the EM-algorithm to Approximate the Distribution of a Mixture by Hyperexponents
Modern infocommunication networks are developing very intensively, the structure of networks and the nature of applications are changing, which leads to the need for new approaches to research the parameters of their functioning. The paper proposes the solution to the problem of approximating an arbitrary probability density in the G/G/1 system using hyperexponential distributions. Moreover, to determine the parameters of the probability density of the hyperexponential distribution, it is proposed to use the EM algorithm. An example of approximation by a system of type H2/D2/1 of a real implementation of IP network traffic is given.
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