Abstract
Probabilistic methods are one of the key tools for analyzing and optimizing the work of information systems in the modern world. They allow you to analyze and select optimal solutions for processing control algorithms and ensure an acceptable level of reliability of the system. When using probabilistic methods, it is important to take into account the influence of various factors on the results of the system. To do this, it is necessary to conduct a comprehensive analysis, which includes an assessment of the probability of malfunctions, an analysis of the consequences of these malfunctions, as well as an assessment of the probability of restoring the system after a malfunction. Comparison and selection of optimal solutions are also important steps when using probabilistic methods, this makes it possible to analyze various variants of control algorithms and choose the one that will provide the best results at the lowest cost.
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