Abstract
The main features associated with the development and research of methods of adaptive intelligent technology for monitoring the state of objects of computer systems are considered. The proposed approach is focused on detecting moments of change in the state of controlled UMV resources, which are: communication channel, processor, memory. The aim of this work is to develop an adaptive model using a Bayesian classifier for estimating the state of UMV resources. The model is based on a probabilistic automaton with parametric self-tuning.
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