Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale_拉斯维加斯赌城

Our paper “Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale” was published in the IEEE Transactions on Network and Service Management (TNSM) Journal. The paper describes “Marina”, a system designed to improve real-time monitoring of network traffic to ensure both performance and security for customers on large networks. It utilizes an efficient data plane to collect real-time traffic statistics and a powerful ML server to run complex ML models, enabling it to monitor more than 520,000 concurrent connections at a total capacity of 6.4 Tbps and achieve comparable or better results than existing solutions.