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ŠEDA, M. HORKÝ, M. ŠEDOVÁ, J.
Original Title
Models and Simulations of Queueing Systems
Type
journal article in Scopus
Language
English
Original Abstract
In the queueing theory, it is assumed that requirement arrivals correspond to the Poisson process and the service time has the exponential distribution. Using these assumptions, the behaviour of the queueing system can be described by means of the Markov chains and it is possible to derive characteristics of the system. In the paper, these theoretical approaches are presented and focused on systems with several service lines and the FIFO queue when the number of requirements exceeds the number of lines. Finally, it is also shown how to compute the characteristics in a situation when these assumptions are not satisfied.
Keywords
Queue, Markovian chain
Authors
ŠEDA, M.; HORKÝ, M.; ŠEDOVÁ, J.
Released
1. 6. 2017
Publisher
Springer-Verlag
Location
Berlin
ISBN
978-3-319-58087-6
Book
Recent Advances in Soft Computing. ICSC-MENDEL 2016
Edition
Advances in Intelligent Systems and Computing, vol. 576
Edition number
1.
2194-5357
Periodical
Advances in Intelligent Systems and Computing
Year of study
576
Number
1
State
Swiss Confederation
Pages from
16
Pages to
25
Pages count
10
BibTex
@article{BUT140804, author="Miloš {Šeda} and Miroslav {Horký} and Jindřiška {Šedová}", title="Models and Simulations of Queueing Systems", journal="Advances in Intelligent Systems and Computing", year="2017", volume="576", number="1", pages="16--25", doi="10.1007/978-3-319-58088-3\{_}2", issn="2194-5357" }