Correlative features of queue size in queue systems with general flows

Likhttsinder, B. Ya.

doi:10.18469/ikt.2015.13.3.07

Cited by 4 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The incoming packets are grouped at one time and virtually absent in others. The features of distribution function of the number of applications on the time intervals for the flow of multiservice networks were examined previously [7], [9]. It was shown that there are periods with different activity, which alternate time after time with different appearance probabilities, due to the fact that the number of claims in multiservice networks is often irregular.…”

Section: Introductionmentioning

confidence: 99%

Automated system for modeling traffic of multiservice networks

Likhttsinder¹,

Kharkovsky²,

Antsinov³

2017

Collection of Selected Papers of the III International Conference on Information Technology and Nanotechnology

View full text Add to dashboard Cite

The paper deals with the system for modeling parameters of traffic of multiservice networks, developed by the authors on the basis of Visual Studio, in C#. The system is based on the principles of interval method of flow analysis general systems of mass service. The results of comparison with similar products are presented. Software structural scheme and its performance are analyzed with examples of video and Poisson traffic stream. The possibility of approximation coefficients determination is given which are coefficients of generalized KhinchinPollaczek formula. As a result, for real traffic, average size of the queues were determined by using approximation coefficients applications at different load factors, as well as a number of other characteristics of multiservice traffic, such as dispersion, correlation, probability distribution.

show abstract

Section: Introductionmentioning

confidence: 99%