___ ___ _ _ _ ___ ___ _ _ _ _ | _>| . \| | | < > | . \ ___ ___ ___ | . || | ___ ___ _ _ <_> _| |_ | |_ ._ _ _ ___ | <__| _/| ' | /.\/ | _/<_> |/ . |/ ._> | || |/ . |/ . \| '_>| | | | | . || ' ' |<_-< `___/|_| `___' \_/\ |_| <___|\_. |\___. |_|_||_|\_. |\___/|_| |_| |_| |_|_||_|_|_|/__/ <___' <___' 

A simple program for analyzing and visualizing CPU scheduling and page replacement algorithms, with automated data generation and reporting.

• CPU Scheduling Algorithms:

  • SJF (Shortest Job First, preemptive & non-preemptive)
  • Round Robin (configurable quantum)
  • Priority-based scheduling
  • Automated workload generation

• Page Replacement Algorithms (configurable frames):

  • LRU (Least Recently Used)
  • LFU (Least Frequently Used)
  • Automated sequence generation

• Data Generation:

  • Custom distributions for processes and page references
  • CSV and JSON export for input datasets
  • Batch generation for multiple test sets

• Performance Analysis:

  • Average turnaround, waiting, completion and response times
  • Page hit/miss rates and execution time
  • Comparative analysis across algorithms and datasets

• Visualization:

  • Gantt charts for CPU scheduling
  • Performance graphs and histograms
  • Automated report and chart export (PNG, CSV, TXT)

• Python 3.13
• Required packages:

  matplotlib>=3.9.2 pandas>=2.2.2 numpy>=1.26.4

1. Install dependencies:

   pip install -r requirements.txt

2. Run simulations:

   • CPU Scheduling:

     python cpu_scheduling/cpu_RUN.py

   • Page Replacement:

     python page_replacement/page_RUN.py

README.md cpu_scheduling/ cpu_generate.py cpu_RUN.py cpu_simulate.py SJF.py SRTF.py RR.py input_data/ output_data/ page_replacement/ page_generate.py page_RUN.py page_simulate.py LRU.py LFU.py input_data/ output_data/ 

This project is released under the MIT License.