Smart CPU Scheduler & Visualizer

A Python-based Operating Systems project that simulates and visualizes different CPU Scheduling Algorithms with an interactive graphical user interface (GUI).

Features

• Interactive GUI using Tkinter
• CPU Scheduling Algorithm Simulation
• Gantt Chart Visualization
• Performance Metrics Calculation
• Input Validation & Error Handling
• Professional Process Table

Key Concepts Demonstrated

• Operating Systems Scheduling Algorithms
• Process Management
• CPU Scheduling Simulation
• Data Structures & Algorithmic Logic
• GUI Development using Tkinter
• Data Visualization using Matplotlib
• Performance Analysis & Metrics Computation

Implemented Algorithms

1. First Come First Serve (FCFS)

Processes execute based on arrival order.

2. Shortest Job First (SJF)

Processes with smaller burst time execute first.

3. Priority Scheduling

Processes execute according to assigned priority values.

4. Round Robin (RR)

Processes share CPU time using a configurable Time Quantum.

Performance Metrics

• Average Waiting Time
• Average Turnaround Time
• Average Response Time

Tech Stack

• Python
• Tkinter
• Matplotlib

Project Structure

smart-cpu-scheduler/
│── algorithms/
│   ├── fcfs.py
│   ├── sjf.py
│   ├── priority.py
│   ├── round_robin.py
│
│── gantt_chart.py
│── metrics.py
│── main.py
│── requirements.txt
│── README.md

Installation

1. Clone the repository:

git clone https://github.com/whiskerwolf/smart-cpu-scheduler-visualizer.git

2. Install dependencies:

pip install -r requirements.txt

3. Run the application:

python main.py

Screenshots

Main Interface

Simulation Output

Future Improvements

• Dark Mode UI
• Export Results to CSV/PDF
• Additional Scheduling Algorithms
• Embedded Gantt Chart inside GUI

This project demonstrates practical implementation of core Operating Systems concepts through interactive scheduling simulation and visualization.

Author

Rithwik Nalla