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Вычисление стационарного распределения числа обслуженных требований

Вычисление стационарного распределения числа обслуженных требований

Abstract

Output flows of a cyclic-service queueing system are investigated. Nonlocal description of the output flow gives rise to a Markov chain with a special structure transition matrix. The known method [1-3] is used to obtain the stationary distribution for this chain. Recurrence relations to calculate the stationary joint probability distribution of the queue length and the number of demands serviced are presented together with some numerical examples for different types of input flows.

Изучаются выходные потоки в системе обслуживания по циклическому алгоритму. При нелокальном описании выходного потока возникает марковская цепь с переходной матрицей специальной структуры. Для получения стационарного распределения этой цепи используется известный метод [1-3]. Приводятся рекуррентные соотношения для совместного стационарного распределения вероятностей длины очереди и числа обслуженных требований и численные примеры при входных потоках разных типов.

Keywords

ПОТОК БАРТЛЕТТА, ПОТОК ГНЕДЕНКО-КОВАЛЕНКО, КОНФЛИКТНЫЕ ПОТОКИ, ЦИКЛИЧЕСКОЕ ОБСЛУЖИВАНИЕ, ВЫХОДНОЙ ПОТОК, НЕЛОКАЛЬНОЕ ОПИСАНИЕ, СТАЦИОНАРНОЕ РАСПРЕДЕЛЕНИЕ ВЕРОЯТНОСТЕЙ, КИБЕРНЕТИЧЕСКИЙ ПОДХОД

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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
bronze