The following image shows the response times for register and query data operations from 50,000 concurrent users:

To set up the Python environment for this project, follow these steps:

1. Create a Python virtual environment:

   python -m venv .venv

2. Activate the virtual environment:

   source .venv/bin/activate

3. Install the required dependencies:

   pip install -r requirements.txt

To compile the Protocol Buffers for the gRPC service, use the following command. Replace <external_coordinator_proto_dir> with the directory containing your .proto files and <external_coordinator_proto_file_path> with the path to your specific .proto file.

python -m grpc_tools.protoc \
--proto_path=<external_coordinator_proto_dir> \
--proto_path=./googleapis \
--python_out=. \
--grpc_python_out=. \
<external_coordinator_proto_file_path>

To test the gRPC endpoint, run the provided Python client for the RPC interface:

python client_rpc.py

For stress testing the RESTful API endpoint provided via the gRPC Gateway, use the following command:

python client_rest.py

To visualize the response times generated from either rest or gRPC, use the following command:

python visualize.py <response_times_file>

• Make sure to replace placeholders in the commands (like <external_coordinator_proto_dir>) with actual values specific to your project.
• Ensure that the googleapis directory is correctly set up and contains the necessary files for gRPC-Gateway functionalities.
• Always activate the virtual environment before running any Python scripts to ensure that dependencies are correctly managed.