Russian Federation
The article presents the development and analysis of a nonlinear model of performance degradation of virtualized systems in 2026 based on the diffusion equation with saturation. The authors classify resource conflicts, formalize the nonlinearity coefficient γ >1 and tail latency according to the logistic-power distribution, implementing a vectorized simulation of thousands of VMs with a multi-agent scheduler and online calibration using eBPF. The uniqueness of the work lies in the prediction of p95-p99.9 degradation with an error of <3%, the detection of critical modes minutes before collapse, preventive DRS migrations, and a 35% increase in virtualization density.
virtualization, resource conflicts, turbo degradation, tail latency, and predictive management
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