AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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DCEmbed is proposed, a heuristic for optimization problems with embedded neural surrogates that leverages the difference-of-convex (DC) representation of the network and avoids adding activation binaries, and demonstrates much faster progress toward high-quality feasible solutions than approaches using exact mixed-inte...
A hierarchical receding-horizon controller is proposed that separates slow server reconfiguration from fast throttling recourse, and offers significant speedups compared to standard optimization solvers, computing near-optimal plans within a 20 second real-time control interval.
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