Case study
Agentic AI Network Automation Ecosystem Stack (MSc Dissertation)
A lightweight, modular AI-powered automation system for enterprise network management using LLMs, MCP mechanisms, decentralized agents, intent-aware auto-remediation, and NetDevOps workflows. Built as an MSc Advanced Computer Networks dissertation at Birmingham City University.
MSc Dissertation · Agentic AI · Network Automation · MCP · LLMs · n8n · Batfish · NetDevOps
Context
Completed as the MSc Advanced Computer Networks dissertation at Birmingham City University.
Highlights
- Modular, lightweight architecture for enterprise network management.
- Decentralized agents coordinated through Model Context Protocol (MCP) mechanisms.
- Intent-aware auto-remediation of network disruptions and failures.
- Built around NetDevOps workflows using n8n and Batfish.
- Related research is available as ResearchGate preprints (see Published Works).