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Математическое моделирование неустойчивых сетей множественного доступа с источником повторных вызовов, функционирующим в полумарковской среде

Математическое моделирование неустойчивых сетей множественного доступа с источником повторных вызовов, функционирующим в полумарковской среде

Abstract

Mathematical models of unstable networks of plural access with the source of repeated calls functioning in random environment are offered. There are investigated asymptotical average characteristics of considered networks and sizes of a deviation numbers of applications in a source of repeated calls from them asymptotical average. Global approximation of process of change of number of applications in a source of repeated calls is spent and the density of distribution of probabilities of values of this process is investigated.

Предлагаются математические модели неустойчивых сетей множественного доступа с источником повторных вызовов, функционирующим в полумарковской среде. Исследуются асимптотические средние характеристики рассматриваемых сетей, величины отклонения нормированного числа заявок в источнике повторных вызовов от их асимптотического среднего. Проводится глобальная аппроксимация процесса изменения числа заявок в источнике повторных вызовов и исследуется плотность распределения вероятностей значений этого процесса.

Keywords

МОДЕЛИ НЕУСТОЙЧИВЫХ СЕТЕЙ, СЕТИ МНОЖЕСТВЕННОГО ДОСТУПА, ГЛОБАЛЬНАЯ АППРОКСИМАЦИЯ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold