Russian Federation
Russian Federation
Russian Federation
Distributed information systems are exposed to risks of partial node loss due to hardware failures, cyberattacks, or natural disasters. The article examines mathematical models of system resilience, including Markov processes, graph theory, and fault tolerance models. Scenarios of 10% to 70% node loss across various network topologies are analyzed. The obtained results demonstrate critical resilience thresholds and propose strategies for improving reliability.
distributed systems, resilience, node loss, Markov models, fault tolerance
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