Temat: transient function - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Investigation of G-network with signals at transient behavior
Autorzy:: Matalytski, M.
Naumenko, V.
Powiązania:: https://bibliotekanauki.pl/articles/122904.pdf
Data publikacji:: 2014
Wydawca:: Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
Tematy:: G-queueing network
transient behavior
state probabilities
generating function
stan nieustalony
funkcja generująca
Opis:: G-queueing network with positive messages and signals at transient behavior is considered. A system of difference-differential equations for the state probabilities of the network is obtained. To find them and the average characteristics of the network a technique was applied based on the use of apparatus of multivariate generating functions. An expression for the generating function was obtained. An example is calculated.
Źródło:: Journal of Applied Mathematics and Computational Mechanics; 2014, 13, 1; 75-86
2299-9965
Pojawia się w:: Journal of Applied Mathematics and Computational Mechanics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Nonstationary analysis of a queueing network with positive and negative messages
Autorzy:: Matalytski, M.
Naumenko, V.
Powiązania:: https://bibliotekanauki.pl/articles/122613.pdf
Data publikacji:: 2013
Wydawca:: Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
Tematy:: information systems
telecommunications systems
information networks
telecommunications networks
virus
open G-network with negative messages
transient behavior
system of difference-differential equations
probability states
generating function
Opis:: This paper contains an investigation of an open queueing network with positive and negative messages that can be used to model the behavior of viruses in information and telecommunication systems and networks. The purpose of research is investigation of such a network at the transient behavior. We consider the case when the intensity of the incoming flow of positive and negative messages and service intensity of messages do not depend on time. It is assumed that all queueing systems of network are one-line. We obtained a system difference-differential equations for the state probabilities of the network. To find the state probabilities of the network in the transitional behavior applied a methodology based on the use of the apparatus of multidimensional generating functions. We obtained an expression for generating function. An example is calculated.
Źródło:: Journal of Applied Mathematics and Computational Mechanics; 2013, 12, 2; 61-71
2299-9965
Pojawia się w:: Journal of Applied Mathematics and Computational Mechanics
Dostawca treści:: Biblioteka Nauki

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