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CPU Scheduler Project

A comprehensive CPU scheduling simulation and visualization project with both web and native applications.

Repository Structure

This repository contains two main applications:

馃摫 Native App (/native-app)

A macOS native application built with SwiftUI (frontend in app) and C/C++ (backend in backend) that provides CPU scheduling simulation and visualization.

Features:

  • Interactive CPU scheduling simulator
  • Support for multiple scheduling algorithms (FCFS, SJF, Priority, Round Robin, etc.)
  • Real-time Gantt chart visualization
  • Performance metrics analysis
  • Algorithm comparison tools
  • System monitoring capabilities
  • Educational tutorials

Tech Stack:

  • Swift
  • SwiftUI
  • C/C++ (Backend)
  • macOS native APIs

Getting Started:

cd native-app/app
# Open in Xcode
open CPUSchedulerUI.xcodeproj

馃寪 Web App (/web-app)

A modern web application built with React and Vite for CPU scheduling simulation and learning.

Features:

  • Interactive web-based scheduling simulator
  • Multiple scheduling algorithms implementation
  • Visual Gantt charts and metrics
  • Algorithm comparison view
  • Educational content
  • Dark/Light theme support
  • Responsive design

Tech Stack:

  • React
  • Vite
  • TailwindCSS
  • Shadcn UI

Getting Started:

cd web-app
npm install
npm run dev

Project Overview

This project provides educational tools for understanding CPU scheduling algorithms used in operating systems. Both applications offer similar features but cater to different platforms and use cases:

  • Native App: Best for macOS users seeking a native desktop experience with system integration
  • Web App: Cross-platform solution accessible from any modern web browser

Supported Algorithms

Both applications implement the following CPU scheduling algorithms:

  1. First Come First Served (FCFS)
  2. Shortest Job First (SJF)
  3. Shortest Remaining Time First (SRTF)
  4. Priority Scheduling (Non-preemptive)
  5. Priority Scheduling (Preemptive)
  6. Round Robin (RR)

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.