Future Enhancements

[csmangum]

• Persistence: Implement a lightweight persistence layer for saving and loading the graph state.
• Distributed Algorithms: Add support for distributed graph algorithms (e.g., shortest path, centrality measures).
• Fault Tolerance: Implement mechanisms for handling node failures and ensuring graph consistency.
• Advanced Communication: Use more robust communication protocols (e.g., gRPC) for better performance and scalability.
• Thread Safety: Ensure that node operations (adding/removing edges) are thread-safe.
• Locks and Mutexes: Use locks or mutexes to manage concurrent access to node data structures.
• Node Failures: Implement mechanisms to detect and handle node failures gracefully.
• Replication: Consider replicating node data across multiple nodes for fault tolerance.
• Backup and Recovery: Implement backup and recovery strategies to restore node states in case of failures.
• Distributed Hash Table (DHT): Use DHTs for efficient node lookups in a large-scale distributed system.
• Sharding: Divide the graph into shards to distribute the load across multiple nodes.
• Load Balancing: Implement load balancing to evenly distribute the workload among nodes.