This web application allows users to upload images and perform various processing tasks on them. The application is built using Flask and leverages multi-threading for handling concurrent requests and MPI (Message Passing Interface) for parallel processing of image tasks.

• Upload multiple images and specify processing operations.
• Background processing of images using MPI for parallel execution.
• Retrieve URLs of processed images.

The Flask app handles web requests and processes them using multi-threading to ensure responsiveness. When a file upload request is received, a background thread is started to handle MPI invocation, allowing the main server to continue processing other requests.

threading.Thread(target=invoke_mpi).start()

The invoke_mpi() function in the Flask app calls an external script (mpi.py) using MPI. The script is executed with multiple processes to perform parallel image processing tasks efficiently.

MPI Command:

subprocess.run(['mpiexec', '-n', '2', 'python3', 'mpi.py'])

• -n 2: Specifies the number of processes (2 in this case).
• mpi.py: The script to be executed in parallel.

• Python 3.x
• Flask
• MPI (Message Passing Interface) implementation (e.g., Open MPI)
• Necessary Python packages (flask, os, subprocess, threading, json)

1. clone the repository:

   git clone https://github.com/abozaid01/Distributed-Image-Processing-on-AWS.git
   cd Distributed-Image-Processing-on-AWS/

2. Create a virtual environment and install dependencies (optional):

   python3 -m venv venv
   source venv/bin/activate
   pip install flask

3. Install MPI:

   sudo apt-get update
   sudo apt-get install -y mpich

1. Start the Flask application:

   python3 server.py

2. Access the application: Open your web browser and go to http://127.0.0.1:5000/.

3. Upload images and specify operations:

   • Use the web interface to upload images and specify the desired operations for each image.
   • The application will save the uploaded files and queue the processing tasks.

4. Retrieve processed images:

   • The application will process the images in the background using MPI.
   • You can retrieve the processed images from the specified URLs provided after uploading.

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

This project is licensed under the MIT License. See the LICENSE file for details.