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cpu-scheduling

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This repository contains a collection of Python scripts that simulate various CPU scheduling algorithms used by operating systems. The goal of these scripts is to help students and researchers better understand how different scheduling algorithms work and how they affect system performance.

  • Updated Mar 19, 2023
  • Python

SchedMaster lies in its hybrid approach - combining classical scheduling algorithms with optimization techniques like Greedy Algorithms, Dynamic Programming, and Backtracking. Additionally, it leverages simple ML models to predict process behavior, detect anomalies in resource usage, and recommend the most suitable scheduling strategies.

  • Updated May 3, 2025
  • Python

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