- Tytuł:
- Analysis of the queueing network with a random bounded waiting time of positive and negative customers at a non-stationary regime
- Autorzy:
-
Matalytski, M.
Naumenko, V. - Powiązania:
- https://bibliotekanauki.pl/articles/122455.pdf
- Data publikacji:
- 2017
- Wydawca:
- Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
- Tematy:
-
G-network
positive and negative customers
random bounded waiting time of customers
non-stationary regime
generation function
non-stationary state probabilities
expected revenues
sieć G
pozytywny klient
negatywny klient
teoria kolejek
czas oczekiwania - Opis:
- In the first part of the article, an investigation of an open Markov queueing network with positive and negative customers (G-networks) has been carried out. The network receives two exponential arrivals of positive and negative customers. Negative customers do not receive service. The waiting time of customers of both types in each system is bounded by a random variable having an exponential distribution with different parameters. When the waiting time of a negative customer in the queue is over it reduces the number of positive customers per unit if the system has positive customers. The Kolmogorov system of difference-differential equations for non-stationary state probabilities has been derived. The method for finding state probabilities of an investigated network, based on the use of apparatus of multidimensional generating functions has been proposed. Expressions for finding the mean number of positive and negative customers in the network systems have also been found. In the second part the same network has been investigated, but with revenues. The case when revenues from the network transitions between states are random variables with given mean values has been considered. A method for finding expected revenues of the network systems has been proposed. Obtained results may be used for modeling of computer viruses in information systems and networks and also for forecasting of costs, considering the viruses penetration.
- Źródło:
-
Journal of Applied Mathematics and Computational Mechanics; 2017, 16, 1; 97-108
2299-9965 - Pojawia się w:
- Journal of Applied Mathematics and Computational Mechanics
- Dostawca treści:
- Biblioteka Nauki
Artykuł