QUEUEING SYSTEMS WITH DELAY
DOI:
https://doi.org/10.15588/1607-3274-2019-3-7Keywords:
Delayed system, shifted distributions, Laplace transform, Lindley integral equation, spectral decomposition methodAbstract
Context. In the queuing theory of a research of the G/G/1 systems are relevant because it is impossible to receive decisions forthe average waiting time in queue in a final form in case of arbitrary laws of distributions of an input flow and service time.
Therefore, the study of such systems for particular cases of input distributions is important. The problem of deriving solutions for the
average waiting time in a queue in closed form for systems with distributions shifted to the right from the zero point is considered.
Objective. Getting solutions for the main characteristics of the systems – the average waiting time of requirements in the queue
for queuing systems (QS) of type G/G/1 with shifted input distributions.
Methods. To solve this problem, we used the classical method of spectral decomposition of the solution of the Lindley integral
equation. This method allows to obtaining a solution for the average waiting time for two systems under consideration in a closed
form. The method of spectral decomposition of the solution of the Lindley integral equation plays an important role in the theory of
systems G/G/1. For the practical application of the results obtained, the well-known method of moments of probability theory is used.
Results. For the first time, spectral expansions are obtained for the solution of the Lindley integral equation for systems with
delay, which are used to derive formulas for the average waiting time in a queue in closed form.
Conclusions. It is shown that in systems with delay, the average waiting time is less than in in the usual systems. The obtained
formula for the average waiting time expands and complements the well-known queuing theory incomplete formula for the average
waiting time for G/G/1 systems. This approach allows us to calculate the average latency for these systems in mathematical packages
for a wide range of traffic parameters. In addition to the average waiting time, such an approach makes it possible to determine also
moments of higher orders of waiting time. Given the fact that the packet delay variation (jitter) in telecommunications is defined as
the spread of the waiting time from its average value, the jitter can be determined through the variance of the waiting time.
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