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Description
This scientific article proposes a modern mathematical algorithm designed to improve workflow and enhance the efficiency of reliability assessment in computer networks. The primary objective of the research is to develop an advanced method for predicting and analyzing potential failures in complex computer environments. The proposed algorithm incorporates contemporary modeling approaches, innovative optimization techniques and information flow analysis to enable improved planning and resource allocation, while significantly reducing downtime and repair interventions in critical computer-based technical systems. The results obtained demonstrate the algorithm's potential for application across a broad spectrum of sectors, including both industrial and educational domains involving computer devices. Specifically, it is applicable in areas where the reliability of computer and network infrastructure plays a key role in maintaining high levels of operational productivity and technical safety. Additionally, elements of artificial intelligence are introduced as a supplementary component to enhance adaptability and support predictive analysis under dynamic conditions.