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Cloud Load Balancer Simulator

☁️ Cloud Load Balancer Simulator

Simulate, compare, and visualize advanced load balancing algorithms for the cloud.
Empowering research and education in distributed systems.

🚀 Features

  • Multiple Load Balancing Algorithms:
    • 🔄 Round Robin (RR)
    • ⚖️ Weighted Round Robin (WRR)
    • 🏷️ Static Weighted Round Robin (SWRR)
    • ⭐ Priority Weighted Round Robin (PWRR)
  • Data-Driven Analysis:
    • 📊 CSV-based input/output for tasks and VMs
    • 📈 Performance metrics and results for each algorithm
  • Interactive Visualization:
    • 🖥️ Modern HTML/JS interface for result exploration
  • Modular & Extensible:
    • 🧩 Clean separation of algorithms, tasks, and VMs

🗂️ Project Structure

index.js                # Main entry point
main.html               # Visualization UI
package.json            # Dependencies & scripts
algorithms/             # Algorithm implementations
  pwrr.js
  roundRobin.js
  staticWRR.js
  weightedRoundRobin.js
data/                   # Datasets & results
  data-*.csv
  tasks.csv
  vms.csv
Tasks/                  # Task logic
  task.js
VMs/                    # VM logic
  baseVM.js
  pwrrVM.js
  rrVM.js
  staticWrrVM.js
  wrrVM.js
docs/                   # Documentation & presentations
  ...

🛠️ Getting Started

Prerequisites

Installation

# Clone the repository
$ git clone <repo-url>
$ cd <project-directory>

# Install dependencies
$ npm install

Running the Simulation

# Run the main simulation
$ node index.js

# Populate data
$ node populateData.js

# Run a specific algorithm
$ node rrIndex.js      # Round Robin
$ node wrrIndex.js     # Weighted Round Robin
$ node swrrIndex.js    # Static Weighted Round Robin
$ node pwrrIndex.js    # Priority Weighted Round Robin (if implemented)

Visualization

Open main.html in your browser to explore results and visualizations.

📁 Data Files

  • data/tasks.csv — List of tasks to be scheduled
  • data/vms.csv — List of virtual machines
  • data/data-*.csv — Output data for each algorithm

🤝 Contributing

Contributions are welcome! Please open issues or submit pull requests for improvements or bug fixes.