Estimation of a Heavy-Tailed Weibull-Pareto Distribution and Its Application to QoE Modeling

被引：1

作者：

Krieger, Udo R. ^{[1
]}

Markovich, Natalia M. ^{[2
]}

机构：

[1] Otto Friedrich Univ, Fak WIAI, Weberei 5, D-96047 Bamberg, Germany

[2] Russian Acad Sci, VA Trapeznikov Inst Control Sci, Profsoyuznaya Str 65, Moscow 117997, Russia

来源：

DISTRIBUTED COMPUTER AND COMMUNICATION NETWORKS (DCCN 2018) | 2018年 / 919卷

关键词：

Heavy-tailed distributions; Weibull-pareto distribution; Weibull-TX class; QoE modeling; BURR-XII SYSTEM; MIXTURES;

D O I：

10.1007/978-3-319-99447-5_3

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

We model the end-to-end delay of advanced services in the Internet by means of a heavy-tailed Weibull-Pareto distribution (WPD). First we summarize the structural properties of the three-parameter WPD class and indicate its relation to the general Weibull-TX class. Then we present an effective estimation scheme to compute the parameters of a WPD distribution by a finite sample. Finally we show how a WPD distribution can be applied to determine the relevant QoE performance metric MOS of end-to-end delay dependent services in the Internet.

引用

页码：21 / 30

页数：10

共 35 条

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