A comprehensive, interactive web-based virtual laboratory for learning and understanding deadlock detection algorithms in operating systems. This professional educational platform provides students with hands-on experience in deadlock concepts through simulations, quizzes, and detailed theoretical content.
This Virtual classes project is designed to help computer science students understand deadlock detection algorithms through interactive simulations and comprehensive learning materials. The platform covers theoretical concepts, practical implementations, and assessment tools to ensure thorough understanding of operating system deadlock management.
- Comprehensive Theory: Detailed explanations of deadlock concepts, conditions, and algorithms
- Step-by-Step Procedures: Clear instructions for implementing deadlock detection
- Interactive Simulations: Real-time algorithm execution with visual feedback
- Assessment Tools: Pre-test and post-test with detailed explanations
- Professional UI: Clean, modern interface with gradient backgrounds
- Responsive Design: Optimized for desktop, tablet, and mobile devices
- Interactive Elements: Smooth animations and hover effects
- Accessibility: ARIA labels and semantic HTML for screen readers
- Pure Web Technologies: Built with HTML5, CSS3, JavaScript, jQuery, and Bootstrap 4.6
- Cross-Browser Compatible: Works on all modern browsers
- No Dependencies: Self-contained with CDN resources
- Fast Loading: Optimized assets and efficient code structure
virtual-classes-deadlock/
├── index.html # Main landing page (Aim)
├── theory.html # Theoretical concepts and explanations
├── pretest.html # Pre-assessment quiz with explanations
├── procedure.html # Step-by-step algorithm procedures
├── simulation.html # Interactive deadlock detection simulation
├── posttest.html # Post-assessment quiz with explanations
├── references.html # Academic references and resources
└── README.md # Project documentation
- Modern web browser (Chrome, Firefox, Safari, Edge)
- Internet connection (for CDN resources)
- No server setup required - runs directly in browser
-
Download the project files
# Clone or download all HTML files to a local directory mkdir virtual-classes-deadlock cd virtual-classes-deadlock
-
Open in browser
- Simply open
index.htmlin your web browser - Or use a local server for better experience:
# Using Python 3 python -m http.server 8000 # Using Node.js npx serve . # Using PHP php -S localhost:8000
- Simply open
-
Navigate the platform
- Start with the Aim page to understand objectives
- Study the Theory for conceptual understanding
- Take the Pre-test to assess initial knowledge
- Follow the Procedure for implementation steps
- Use the Simulation for hands-on practice
- Complete the Post-test to evaluate learning
- Check References for additional resources
- Start with Aim: Understand the learning objectives
- Study Theory: Learn deadlock concepts and algorithms
- Take Pre-test: Assess your initial understanding
- Follow Procedure: Learn step-by-step implementation
- Run Simulation: Practice with interactive examples
- Take Post-test: Evaluate your learning progress
- Review References: Explore additional resources
- Configure System: Select number of processes and resources
- Initialize Matrices: System generates allocation and maximum matrices
- Calculate Need Matrix: Enter values using the formula: Need = Maximum - Allocation
- Run Algorithm: Execute the deadlock detection algorithm step-by-step
- Analyze Results: Understand safe/unsafe states and sequences
- Interactive Quizzes: Multiple-choice questions with immediate feedback
- Detailed Explanations: Comprehensive explanations for each answer
- Progress Tracking: Visual feedback on performance
- Grading System: Automatic scoring with performance categories
- HTML5: Semantic markup and structure
- CSS3: Modern styling with custom properties and animations
- JavaScript (ES6+): Interactive functionality and algorithm implementation
- jQuery 3.6.0: DOM manipulation and event handling
- Bootstrap 4.6.2: Responsive grid system and components
- Font Awesome 6.0: Professional icons and visual elements
- Google Fonts: Inter font family for modern typography
- Chrome 70+
- Firefox 65+
- Safari 12+
- Edge 79+
- Mobile browsers (iOS Safari, Chrome Mobile)
- Optimized CSS with custom properties
- Efficient JavaScript with minimal DOM manipulation
- CDN resources for fast loading
- Responsive images and scalable vector icons
- Smooth animations with CSS transitions
- Primary: #2563eb (Blue)
- Secondary: #1e40af (Dark Blue)
- Success: #10b981 (Green)
- Warning: #f59e0b (Orange)
- Danger: #ef4444 (Red)
- Dark: #1f2937 (Charcoal)
- Font Family: Inter (Google Fonts)
- Weights: 300, 400, 500, 600, 700
- Responsive scaling: Fluid typography for all devices
- Cards: Rounded corners with subtle shadows
- Buttons: Gradient backgrounds with hover effects
- Forms: Clean inputs with focus states
- Navigation: Sidebar with smooth transitions
- Understand deadlock conditions and characteristics
- Learn deadlock detection algorithms and their implementation
- Practice with real-world scenarios and examples
- Develop problem-solving skills in resource management
- Gain hands-on experience with algorithm visualization
- Deadlock Fundamentals: Definition, conditions, and examples
- Resource Allocation Graphs: Visual representation and analysis
- Detection Algorithms: Banker's algorithm and safety checks
- Recovery Strategies: Process termination and resource preemption
- Real-world Applications: Database systems and operating systems
- Pre-test: Evaluate initial knowledge and identify learning gaps
- Interactive Simulation: Hands-on practice with immediate feedback
- Post-test: Comprehensive evaluation of learning outcomes
- Detailed Explanations: Reinforce concepts and correct misconceptions
We welcome contributions to improve the Virtual classes platform! Here's how you can help:
- Bug Reports: Report issues or unexpected behavior
- Feature Requests: Suggest new features or improvements
- Content Enhancement: Improve explanations or add examples
- UI/UX Improvements: Enhance design and user experience
- Code Optimization: Improve performance and maintainability
- Follow existing code style and conventions
- Test changes across different browsers and devices
- Ensure accessibility standards are maintained
- Document any new features or changes
- Keep the educational focus and simplicity
This project is developed for educational purposes. Feel free to use, modify, and distribute for educational and non-commercial purposes.
Nar Narayan Gaur
- Educational Technology Specialist
- Focus on Interactive Learning Platforms
- Expertise in Web Development and Computer Science Education
If you encounter any issues or have questions:
- Check the documentation in this README
- Review the theory section for conceptual clarification
- Try the simulation with different parameters
- Refer to the references for additional resources
- ✅ Complete virtual lab implementation
- ✅ Interactive deadlock detection simulation
- ✅ Comprehensive assessment system
- ✅ Professional responsive design
- ✅ Cross-browser compatibility
- ✅ Accessibility features
- ✅ Educational content with explanations
- Timer Functionality: Add countdown timers for assessments
- Progress Tracking: Visual progress indicators
- Export Capabilities: PDF certificates and result exports
- Advanced Simulations: More complex deadlock scenarios
- Mobile App: Progressive Web App (PWA) version
- Dark Mode: Theme toggle for better user experience
- Multilingual Support: Content in multiple languages
- Performance Optimization: Faster loading and smoother animations
- Offline Support: Service worker for offline functionality
- Analytics Integration: Learning analytics and progress tracking
- API Integration: Backend support for user management
- Advanced Visualizations: 3D graphics and interactive diagrams
This Virtual classes platform is designed to:
- Enhance Understanding: Visual and interactive learning approach
- Improve Retention: Hands-on practice with immediate feedback
- Support Different Learning Styles: Visual, auditory, and kinesthetic learners
- Provide Flexibility: Self-paced learning with comprehensive resources
- Ensure Accessibility: Inclusive design for all students
Ready to explore deadlock detection algorithms? Start with index.html and begin your learning journey! 🚀
For questions or feedback, the platform provides comprehensive explanations and references to support your learning experience.
This comprehensive README file provides:
## 🎯 **Complete Documentation:**
### 📚 **Educational Focus:**
- Clear learning objectives and outcomes
- Detailed usage instructions for students
- Educational content overview
- Assessment strategy explanation
### 🛠️ **Technical Information:**
- Complete project structure
- Installation and setup instructions
- Browser compatibility details
- Performance specifications
### 🎨 **Design Documentation:**
- Color palette and typography
- Component descriptions
- Responsive design features
- Accessibility considerations
### 🚀 **Getting Started Guide:**
- Step-by-step installation
- Learning path recommendations
- Simulation usage instructions
- Troubleshooting tips
### 📈 **Future Vision:**
- Planned enhancements
- Technical improvements
- Educational impact goals
- Version history
The README serves as both a technical guide for developers and an educational resource for students and instructors using the Virtual classes platform.