Back to Portfolio
distributed-systems

Enhanced Consensus Protocol Network

A distributed consensus system implementing leader election and fault tolerance mechanisms with support for multiple network topologies (mesh, ring, small-world) and real-time visualization of network states and vote distributions.

Challenge

Design a consensus protocol that maintains agreement across a distributed network while handling node failures, network partitions, and packet loss, with the ability to visualize and analyze the system behavior in real-time.

Solution

Implemented a state-based consensus system with dynamic leader election, health monitoring, and vote tracking. The system includes real-time visualization of network topology, node states, and voting patterns.

Implementation

  • Developed dynamic leader election with health-based state management
  • Created multiple network topology options (mesh, ring, small-world)
  • Built comprehensive failure handling and recovery system
  • Implemented real-time vote distribution tracking
  • Integrated network metrics and performance monitoring
  • Created multi-panel visualization system with GridSpec

Simulation Analysis

Network Consensus Process

Real-time visualization of the consensus protocol showing node states, leader election, and vote distribution across different network topologies

Network Consensus Process Simulation
Leader Election
Accuracy: 99.4%Latency: 45ms
Vote Synchronization
Accuracy: 97.8%Latency: 55ms
Fault Recovery
Accuracy: 96.5%Latency: 85ms

Technical Architecture

Consensus Protocol Architecture

Overview of the network consensus system components

Consensus Protocol Architecture

Consensus Process Flow

Sequence diagram showing the consensus protocol in action

Consensus Process Flow

Key Metrics

15 nodes
Network Size
3 types
Topologies
10Hz
Update Rate
<300ms
Recovery Time

Project Links

Technologies

PythonNetworkXMatplotlibNumPySeabornRich CLI