On the implications of the OFF periods distribution in two-state traffic models

被引：11

作者：

Garroppo, RG ^{[1
]}

Giordano, S

Isopi, M

Pagano, M

机构：

[1] Univ Pisa, Dipartimento Ingn Informaz, Pisa, Italy

[2] Univ Rome La Sapienza, Dipartimento Matemat, I-00185 Rome, Italy

来源：

IEEE COMMUNICATIONS LETTERS | 1999年 / 3卷 / 07期

关键词：

autocorrelation decay; heavy tailed distribution; long-range dependence; queueing performance;

D O I：

10.1109/4234.775260

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

The goal of the letter is to highlight the impact of the inactive period distribution of an ON-OFF source On the autocorrelation structure of the model. In particular, two discrete-time ON-OFF models, both with geometric distribution of the active period, are considered: the GeoGeo Model (GGM) and the ParetoGeo Model (PGM), characterized by a geometric and Pareto-like distribution of the OFF periods length, respectively. The two models are compared in terms of their main statistical features as well as queueing impact. The asymptotic behavior of the autocorrelation function for the proposed PGM has been analytically evaluated. It is shown it has a hyperbolic decay related to the tail behavior of the OFF periods distribution.

引用

页码：220 / 222

页数：3

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