Probabilistic Network Models for the Study of Typical Technological Schemes of Information Processing in Analytical Centers
The aim of the work is to automate the study of the information and analytical materials (IAM) preparation based on the development of functional and network probabilistic models for the analysis of typical technological schemes to produce IAM in computing centers based on local computer networks. The main research methods are probability theory methods, theory of random processes and theory of queuing. Based on the theory of random processes, a mathematical apparatus has been developed for the analytical study of probabilistic network models for analyzing the time characteristics of IAM preparation processes. Results. Functional equations and calculation ratios have been obtained that make it possible to carry out a multivariate analysis of various schemes for preparing documents and to identify bottlenecks in the main typical technologies for preparing IAM.