Evaluation of the Markov Models in Computer Networks Simulation

This paper is about the application of Discrete Markov models [1], [2] for the simulation of computer networks where the number of clients remains unchanged. Two numerical methods [3] have been used, the Power simulation method and the P-simulation method. Two network models have been used: the Gord...

Full description

Saved in:
Bibliographic Details
Published in:Special Edition of the World Congress on Engineering and Computer Science 2009-10, Vol.1247, p.1-12
Main Authors: Sinno, Nisrine, Youssef, Hussein, Ghaddar, Ahmad
Format: Article
Language:English
Subjects:
Asymptotic properties
Clients
Computer networks
Computer simulation
Convergence
Criteria
Markov models
Mathematical models
Networks
Numerical analysis
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper is about the application of Discrete Markov models [1], [2] for the simulation of computer networks where the number of clients remains unchanged. Two numerical methods [3] have been used, the Power simulation method and the P-simulation method. Two network models have been used: the Gordan-Newell and the Cox-Cox models. In simulating those two models, the asymptotic performance of the simulation has been compared, in term of the convergence criteria toward the stationary state of the model.
ISSN:0094-243X