AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Two lightweight mechanisms for low-latency control-plane resizing in multi-controller SDVNs significantly reduce end-to-end delay and packet loss while improving load balancing rate.
This paper presents a deployment-oriented survey of MTD for 5G, with special emphasis on learning-assisted designs that optimize what to mutate, when to mutate, and how to enforce mutation under slice-isolation, URLLC, and orchestration constraints.
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