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Wyszukujesz frazę "queueing network" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
About one method of finding expected incomes in HM-queueing network with positive customers and signals
Autorzy:
Matalytski, M.
Powiązania:
https://bibliotekanauki.pl/articles/122974.pdf
Data publikacji:
2016
Wydawca:
Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
Tematy:
HM-queueing network
positive and negative customers
signals
expected incomes
ransient regime
kolejkownie sieci
systemy kolejkowe
pozytywny klient
negatywny klient
teoria kolejek
Opis:
In the paper an open Markov HM(Howard-Matalytski)-Queueing Network (QN) with incomes, positive customers and signals (G(Gelenbe)-QN with signals) is investigated. The case is researched, when incomes from the transitions between the states of the network are random variables (RV) with given mean values. In the main part of the paper a description is given of G-network with signals and incomes, all kinds of transition probabilities and incomes from the transitions between the states of the network. The method of finding expected incomes of the researched network was proposed, which is based on using of found approximate and exact expressions for the mean values of random incomes. The variances of incomes of queueing systems (QS) was also found. A calculation example, which illustrates the differences of expected incomes of HM-networks with negative customers and QN without them and also with signals, has been given. The practical significance of these results consist of that they can be used at forecasting incomes in computer systems and networks (CSN) taking into account virus penetration into it and also at load control in such networks.
Źródło:
Journal of Applied Mathematics and Computational Mechanics; 2016, 15, 1; 87-98
2299-9965
Pojawia się w:
Journal of Applied Mathematics and Computational Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Investigation of G-networks with restart at a non-stationary mode and their application
Autorzy:
Matalytski, Mikhail
Naumenko, Victor
Kopats, Dmitry
Powiązania:
https://bibliotekanauki.pl/articles/122538.pdf
Data publikacji:
2019
Wydawca:
Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
Tematy:
queueing network
G-network
positive and negative customers
non-stationary regime
multiple type customers
signals
restart
nonstationary state probabilities
successive approximation method
sieć kolejkowa
sieć G
sygnały
metoda aproksymacji
aproksymacja
teoria kolejek
pozytywny klient
negatywny klient
Opis:
This article discusses the question of restarting the script, when restart is used by many users of the information network, which can be modelled as a G-network. Negative claims simulate the crash of the script and the re-sending of the request. Investigation of an open queuing network (QN) with several types of positive customers with the phase type of distribution of their service time and one type of negative customers have been carried out. Negative customers are signals whose effect is to restart one customers in a queue. A technique is proposed for finding the probability of states. It is based on the use of a modified method of successive approximations, combined with the method of a series. The successive approximations converge with time to a stationary distribution of state probabilities, the form of which is indicated in the article, and the sequence of approximations converges to the solution of the difference-differential equations (DDE) system. The uniqueness of this solution is proved. Any successive approximation is representable in the form of a convergent power series with an infinite radius of convergence, the coefficients of which satisfy recurrence relations, which is convenient for computer calculations. A model example illustrating the finding of time-dependent probabilities of network states using the proposed technique is also presented.
Źródło:
Journal of Applied Mathematics and Computational Mechanics; 2019, 18, 2; 41-51
2299-9965
Pojawia się w:
Journal of Applied Mathematics and Computational Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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