Python OS Scheduler Simulator

A Python-based simulator that implements core Operating System CPU Scheduling Algorithms.
This project demonstrates practical understanding of process scheduling, ready queues, preemption, and performance metrics using clean and modular code design.

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📌 Features

• Implements major CPU Scheduling Algorithms:
  • First Come First Serve (FCFS)
  • Round Robin (RR)
  • Shortest Job First (SJF)
  • Shortest Remaining Time First (SRTF)
  • Priority Scheduling
  • Preemptive Priority Scheduling
• Accurate simulation of OS-level process execution
• Efficient ready queue management using appropriate data structures
• Calculation of key scheduling metrics:
  • Completion Time
  • Turnaround Time
  • Waiting Time
• Modular and extensible project structure
• Easy to add new algorithms or enhancements

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🧠 Concepts Covered

• Operating Systems (CPU Scheduling)
• Process Management
• Preemption & Time Quantum
• Ready Queue Simulation
• Data Structures (deque, lists)
• Algorithmic Time Complexity
• Clean Code & Modular Design

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📂 Project Structure

python-os/
├── algorithms/
│   ├── fcfs.py
│   ├── round_robin.py
│   ├── sjf.py
│   ├── srtf.py
│   ├── priority.py
│   ├── preemptive_priority.py
│   └── __init__.py
│
├── core/
│   ├── process.py
│   └── __init__.py
│
├── main.py
└── README.md

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⚙️ Technologies Used

• Language: Python
• Core CS: Operating Systems, Data Structures & Algorithms
• Tools: Git, GitHub

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🚀 How to Run

1. Clone the repository:

   git clone <your-repo-link>

2.Navigate to the project directory:

   cd python-os

3.Run the main file:

   python main.py

📊 Output

The simulator outputs:

Execution order of processes

Completion Time

Turnaround Time

Waiting Time

This helps in visualizing and comparing scheduling algorithms.

📚 Learning Outcome

This project strengthened my understanding of Operating System internals, particularly how CPU scheduling works in real systems, while applying DSA concepts in Python.