Raft Consensus Algorithm Implementation

Overview

This project is an implementation of the Raft consensus algorithm in Python. Raft is a consensus algorithm designed as an alternative to Paxos, aiming to be more understandable and easier to implement.

Features

• Leader Election: Handles the election of a leader among nodes.
• Log Replication: Ensures that the logs are consistently replicated across the nodes.
• Fault Tolerance: Continues to operate correctly even if some nodes fail.
• Multithreading: Uses multithreading for efficient processing.
• gRPC Communication: Employs gRPC for robust communication between server-server and client-server nodes.

Tech Stack

• Python: Core language for implementation.
• gRPC: For communication between nodes.
• Multithreading: For concurrent operations.

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/raft-consensus-algorithm.git
   cd raft-consensus-algorithm

2. Install dependencies:

   pip install -r requirements.txt

Usage

1. Start the server nodes:

   python server.py --id <node_id>

2. Start the client:

   python client.py

3. Interacting with the system:

   • Use the client to send commands to the Raft cluster.
   • Monitor logs to observe the consensus process.

Code Structure

• server.py: Contains the implementation of the server nodes.
• client.py: Contains the client-side code to interact with the Raft cluster.
• raft.py: Core implementation of the Raft algorithm.
• logs/: Directory where logs are stored for each node.