Open Networking Summit Europe 2019

Network traffic analytics is critical to data center management and operation efficiency. The regular solution with cloud-based analytics has higher latency and delay for action feedback. This paper proposes an edge-based analytics model with close-loop action feedback to achieve real-time predictive network analytics. Under this solution, the network traffic telemetry data is collected and aggregated by the network devices (e.g. SmartNIC). The AI model is trained at cloud and deployed to the SmartNIC. The predictive analytics and AI inference is managed at the edge device of SmartNIC to achieve real-time close-loop management and mitigation.