- Tytuł:
- Using the theories of fuzzy sets for researching the processes of diagnostics of data communication networks
- Autorzy:
- Omonov, Ibratbek
- Powiązania:
- https://bibliotekanauki.pl/articles/2174473.pdf
- Data publikacji:
- 2023
- Wydawca:
- Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
- Tematy:
-
data transmission systems
multiple in-multiple out fuzzy sets
diagnostics
Matlab Simulink
system transmisji danych
diagnostyka - Opis:
- The article deals with the application of the queuing theory apparatus for analysing the diagnostic processes of data transmission networks (DTN). It is shown that with an increase in the complexity of DTN and existing tools and algorithms for their diagnostics, it seems expedient to create automated diagnostics systems that take into account the disadvantages and advantages of existing network diagnostics methods. The existing analytical methods (in the capacity of which probabilistic methods of the queuing theory are used) and statistical (methods of simulation modelling) are presented. In terms of the queuing system, the analysis of the closed, open (QS) is carried out and their characteristics are determined. The analysis of the statistical method for modelling the diagnostic system in the GPSS World environment is carried out. Models of the DTN diagnostics system are considered from the point of view of closed and open queuing systems. For analytical models of DTN diagnostic systems, the possibility of using the QS is considered, as a result of which the general structure of the main elements and procedures for the functioning of the diagnostic system are determined. The analysis of the possibilities of using the queuing theory made it possible to determine the analytical regularities for the model of diagnostic systems. The creation of automated diagnostic systems based on a queuing system provides a deep and accurate analysis of the characteristics of diagnostics and, therefore, is a promising direction in the development of systems for the technical operation and maintenance of DTN.
- Źródło:
-
Diagnostyka; 2023, 24, 1; art. no. 2023202
1641-6414
2449-5220 - Pojawia się w:
- Diagnostyka
- Dostawca treści:
- Biblioteka Nauki
Artykuł