The convergence of Software-Defined Networking (SDN) and edge computing represents a significant paradigm shift in modern network architecture. As computational resources move closer to data sources and end users, traditional centralized network management approaches face new challenges in scalability, latency, and autonomy. Edge-centric SDN environments distribute intelligence across the network edge, enabling localized decision-making while maintaining centralized oversight.

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AI Agents for Edge-Centric SDN Management

  • Het Mehta

摘要

The convergence of Software-Defined Networking (SDN) and edge computing represents a significant paradigm shift in modern network architecture. As computational resources move closer to data sources and end users, traditional centralized network management approaches face new challenges in scalability, latency, and autonomy. Edge-centric SDN environments distribute intelligence across the network edge, enabling localized decision-making while maintaining centralized oversight.