Abstract
Today, queueing systems that describe failures in the process of software testing are subject to extensive research. Such systems involve a dependence between the rate of an input Poisson stream and the rate of exponentially distributed handling time. Using this dependence, system load levelling procedures are defined. However, such a model and method of research are not suitable for systems with a deterministic handling time. Therefore, this paper examines the dependence of the Poisson distribution parameter of the number of requests in a system from the deterministic handling time in the presence of a peak rate of the input stream. This dependence is examined analytically and numerically. It is shown that a reduction of the handling time levels the peak number of customers in the system
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