The Possibilities and Limitations of the Application of the Convolution Algorithm for Modeling Network Systems

Adam Kaliszan; Maciej Stasiak

doi:10.1007/978-3-319-59767-6_18

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Title

The Possibilities and Limitations of the Application of the Convolution Algorithm for Modeling Network Systems

Authors

Adam Kaliszan (WEiT) ^{[ 1 ][ 2.3 ][ P ]}
Maciej Stasiak (WEiT) ^{[ 1 ][ 2.3 ][ P ]}

^{[ 1 ]} Katedra Sieci Telekomunikacyjnych i Komputerowych, Wydział Elektroniki i Telekomunikacji, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2017

Chapter type

chapter in monograph / paper

Publication language

english

Abstract

EN This article verifies the applicability of the convolution algorithm for modelling multi-service network systems with different call streams, including non-Poissonian streams. The study includes investigations of traffic streams that are state-dependent and independent. The service time is determined by the following distributions: Pareto, uniform, gamma, normal and exponential. The results of the simulation experiments are compared with the results of modelling by convolution algorithm. The results obtained in this study allow limits for the applicability of the convolution algorithm to be determined and identified.

Date of online publication

30.05.2017

Pages (from - to)

221 - 235

DOI

10.1007/978-3-319-59767-6_18

URL

https://link.springer.com/chapter/10.1007/978-3-319-59767-6_18

Book

Computer Networks : 24th International Conference, CN 2017 Lądek Zdrój, Poland, June 20 - 23, 2017 Proceedings

Presented on

24th International Conference on Computer Networks, CN 2017, 20-23.06.2017, Lądek Zdrój, Poland