Spectral solutions for QS with distribution laws in the form of probabilistic mixtures
Автор: Tarasov V.N., Bakhareva N.F.
Журнал: Физика волновых процессов и радиотехнические системы @journal-pwp
Статья в выпуске: 2 т.28, 2025 года.
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Background. QS are the main mathematical tool for modeling data transmission systems, which are not without reason called queuing networks. The need to regulate such characteristics of mass service systems as waiting time in a queue or queue length is due to the improvement of the quality of operation of data transmission systems. The ability to regulate these characteristics allows minimizing the waiting time in the queue in the buffers of transmitting devices, as well as the volumes of buffer memory itself. To demonstrate this possibility, the paper examines queuing systems formed by both conventional distribution laws in the form of probability mixtures and time-shifted distribution laws.
Ordinary and shifted hyper exponential and hyper-erlang distribution laws, lindley integral equation, spectral decomposition method, laplace transform
Короткий адрес: https://sciup.org/140310806
IDR: 140310806 | DOI: 10.18469/1810-3189.2025.28.2.87-94