Title :
Traffic modeling for telecommunications networks
Author :
Frost, Victor S. ; Melamed, Benjamin
Author_Institution :
Telecommun. & Inf. Sci. Lab., Kansas Univ., Lawrence, KS, USA
fDate :
3/1/1994 12:00:00 AM
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;
Journal_Title :
Communications Magazine, IEEE
