Russian Federation
This article offers an approach to graph theory-based fault tolerance modeling that allows formalizing the topology of a distributed system, identifying critical nodes and communication channels, and evaluating the structural stability of the network, combined with machine learning methods used to predict failures and early detection of service degradation based on operational data.
fault tolerance, distributed systems, graph theory, machine learning, failure prediction, integration, degradation scenarios, modeling, operational data, proactive management
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