IDEAL: Intent Driven Emerging Anti-congestion Router with Load-Balance for SDN

With the development of software-defined network, network managers can manage and control rich network devices through a unified OpenFlow protocol; however, network managers still need to configure the network manually. Moreover, with the increasing number of huge network devices, it is required to be timely without configuration errors, which leads to high knowledge and experience requirements for network managers. In this work, we propose an Intent Driven Emerging Anti-congestion Router with Load-balance considerations, which is termed as IDEAL system. The presented IDEAL system can analyze the user intents and make network configurations to satisfy their requirements without managers manual operation in the network. Moreover, the IDEAL system can always select the optimal routing paths according to the current global network status, and automatically switch the links for users when the network fails. Finally, we present a proof-of-concept demonstration of the feasibility and performance enhancement of the presented IDEAL system.