https://github.com/ajay-karmakar/csched

CPU Scheduling Algorithm Simulator
https://github.com/ajay-karmakar/csched

kivy operating-system python3

Last synced: about 1 month ago
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CPU Scheduling Algorithm Simulator

• Host: GitHub
• URL: https://github.com/ajay-karmakar/csched
• Owner: ajay-karmakar
• License: mit
• Created: 2024-06-09T15:20:42.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-11-17T10:27:13.000Z (about 1 month ago)
• Last Synced: 2024-11-17T11:28:53.076Z (about 1 month ago)
• Topics: kivy, operating-system, python3
• Language: Python
• Homepage: https://github.com/user-attachments/files/15753264/Sched.1.0.zip
• Size: 19.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Csched

This repository hosts CSCHED, a CPU Scheduling Algorithm Simulator, a comprehensive tool designed to simulate various CPU scheduling algorithms with an interactive GUI built using the Kivy framework in Python.

# Features:

Multiple Algorithms: The simulator supports popular CPU scheduling algorithms including FCFS, PS, RR, and SJF, allowing users to explore and compare their performance.

Dynamic Input: Users can input process details and scheduling constraints on-the-fly, enabling customization and adaptability to different scenarios.

Real-time Output: The simulator provides real-time output showcasing scheduling sequences, turnaround time, waiting time, and other metrics, facilitating easy analysis of algorithm performance.

Educational Resource: With its intuitive interface and educational value, this simulator is ideal for students, instructors, and professionals seeking to understand CPU scheduling algorithms.

# Usage:

Clone the repository to your local machine.

Install the required dependencies listed in the **`requirements.txt`**.

Run the simulator script and interact with the GUI to explore different scheduling algorithms and their outcomes.

# Contributing:

Contributions to this project are welcome! Whether it's fixing bugs, adding features, or improving documentation, feel free to fork the repository and submit pull requests.

# License:

This project is licensed under the MIT License, granting you the freedom to modify and distribute the code for both personal and commercial use.

# Acknowledgments:

We would like to express our gratitude to the Kivy development team for providing an excellent framework for building cross-platform applications in Python.

# Get Started:

Explore the capabilities of CPU scheduling algorithms and enhance your understanding of operating systems with our CPU Scheduling Simulator. Clone the repository and start simulating today!