Consensus/gossip_protocol library

🌐 Gossip Protocol Implementation for Distributed Systems

A production-ready, enterprise-level implementation of the Gossip Protocol that provides efficient information dissemination, membership management, and failure detection in distributed systems. This implementation is optimized for high-availability applications, peer-to-peer networks, and large-scale distributed databases.

Features:

  • Generic type support for any serializable data type
  • Configurable gossip intervals and fanout parameters
  • Multiple gossip strategies (push, pull, push-pull)
  • Automatic failure detection and node removal
  • Membership management with health monitoring
  • Anti-entropy mechanisms for data consistency
  • Configurable message TTL and retry policies
  • Thread-safe operations for concurrent environments
  • Built-in performance monitoring and metrics
  • Support for custom message types and routing
  • Serialization for network transmission
  • Load balancing and adaptive fanout

Time Complexity:

  • Message propagation: O(log n) rounds for full dissemination
  • Membership update: O(1) for individual updates
  • Failure detection: O(1) for individual nodes
  • Anti-entropy: O(n) for full synchronization

Space Complexity: O(n) for membership tracking, O(m) for message storage

Example:

final gossipProtocol = GossipProtocol<String>.create(
  nodeId: 'node1',
  fanout: 3,
  gossipInterval: Duration(milliseconds: 100),
);
gossipProtocol.start();
gossipProtocol.gossip('Hello, distributed world!');

Classes

GossipConfig
Gossip protocol configuration
GossipMessage
Gossip message structure
GossipNode<T>
Node information in the gossip network
GossipProtocol<T>
Production-ready Gossip Protocol implementation

Enums

GossipMessageType
Message types in the gossip protocol
GossipNodeState
Node states in the gossip network