A hybrid CPU scheduling framework that integrates Machine Learning predictions with the Linux Completely Fair Scheduler (CFS) to reduce latency and improve responsiveness. Features a Python-based simulation, Random Forest/Linear Regression models, dynamic vruntime adjustment, and performance comparison against standard CFS.
karthikch947/ML_Based_CFS-scheduler
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