ANALYSIS OF DIFFERENCES IN THE CHARACTERISTICS OF QUEUING SYSTEMS WITH THE DYNAMICS OF INPUT STREAMS SELF-SIMILARITY
DOI:
https://doi.org/10.20535/2411-2976.12022.22-26Keywords:
queuing system, quality of service, Poisson distribution, Weibull distribution, self-similarityAbstract
Background. Modern queuing theory is used in many fields and in telecommunications it plays an important role. Today, the modern way to implement queuing systems is a cloud environment. And the main problem of queuing system is to ensure the quality of service.
Objective. The purpose of the paper is to study the indicators of service quality of queuing systems with different initial characteristics, to analyse the service quality characteristics when comparing quantitative characteristics of different parameters of queuing systems to identify features of queuing system with self-similarity.
Methods. Analyse the theory of QoS, types of distribution, such as Poisson and Weibull, as well as the properties of self-similar traffic. Compare the values of the main parameters that provide the desired quality of service at different inputs and different Hearst parameters.
Results. The importance of taking into account the self-similarity factor for the accuracy of the values of the parameters in the calculation that ensure the quality of service in the QMS.
Conclusions. Research of the influence of self-similar traffic on the quality of service in queuing systems.
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