YAFS (Yet Another Fog Simulator) for Predictive Maintenance

This project uses YAFS (Yet Another Fog Simulator), a Python-based simulator for Fog Computing scenarios, to simulate a predictive maintenance system. The system predicts potential equipment failures and schedules maintenance before the failure occurs.

Features

• Simulation of a network of IoT devices reporting equipment status.
• Predictive algorithms to forecast equipment failures.
• Scheduling of maintenance tasks based on predictions.

Prerequisites

Before running the simulation, make sure you have the following installed:

• Python: Installation Guide
• YAFS: Install with pip pip install yafs

Setup

1. Clone the repository:

   git clone https://github.com/your-username/YAFS-Predictive-Maintenance.git

2. Navigate to the project directory:

   cd YAFS-Predictive-Maintenance

3. Install the required dependencies:

   pip install -r requirements.txt

4. Run the simulation:

   python main.py

Usage

• The simulation creates a network of IoT devices reporting equipment status.
• Predictive algorithms analyze the status reports to forecast potential equipment failures.
• Based on the predictions, the system schedules maintenance tasks to prevent equipment failure.

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.