UCD Cluster VM Management Model (ONNX)

This is the first stable release of the DRL VM Management Agent, a Deep Reinforcement Learning model trained using Maskable PPO to optimize Virtual Machine placement and lifecycle management. The model is exported in ONNX format for platform-independent deployment and comes with a full Python inference pipeline. 📦 What's Included Pre-trained Model: vm_management_agent.onnx (Supports up to 32 Hosts). Inference Engine: MLSysOpsVMManagementAgent class for easy integration. State Serializer: Converts complex JSON infrastructure states into the required 801-dim vector. Action Interpreter: Translates integer model outputs into human-readable decisions (e.g., "Create Large VM on Host 5"). Demo Suite: Includes demo.py and generate_scenarios.py to verify model behavior. ⚠️ Model Constraints (Model Card) Scope: Single Datacenter. Scale: Maximum 32 Hosts. Resources: Optimization is based on CPU Cores only. Job Limits: Maximum job size is 8 Cores. 🚀 Quick Start Clone and Install: git clone https://github.com/mlsysops-eu/model-cluster-vm-management.git cd model-cluster-vm-management pip install -r requirements.txt Run the Demo: python demo.py Full Documentation: See the README.md for integration details.