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
收藏
页码:21 / 30
页数:10
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