Traffic modeling for telecommunications networks

Author

Frost, Victor S. ; Melamed, Benjamin

Author_Institution

Telecommun. & Inf. Sci. Lab., Kansas Univ., Lawrence, KS, USA

Volume

32

Issue

3

fYear

1994

fDate

3/1/1994 12:00:00 AM

Firstpage

70

Lastpage

81

Abstract

As new communications services evolve, professionals must create better models to predict system performance. The article provides an overview of computer simulation modelling for communication networks, as well as some important related modelling issues. It gives an overview of discrete event simulation and singles out two important modelling issues that are germane to extant and emerging networks: traffic modelling and rare event simulation. Monte Carlo computer simulation is used as a performance prediction tool and Markov models are considered.<>

Keywords

Markov processes; Monte Carlo methods; discrete event simulation; modelling; performance evaluation; telecommunication networks; telecommunication services; telecommunication traffic; telecommunications computing; Markov models; Monte Carlo computer simulation; communication networks; communications services; computer simulation modelling; discrete event simulation; rare event simulation; system performance prediction; telecommunications networks; traffic modeling; Analytical models; Communication networks; Computational modeling; Computer simulation; Discrete event simulation; Predictive models; System performance; Technology management; Telecommunication traffic; Traffic control;

fLanguage

English

Journal_Title

Communications Magazine, IEEE

Publisher

ieee

ISSN

0163-6804

Type

jour

DOI

10.1109/35.267444

Filename

267444