PI: Murat Yuksel · University of Central Florida
This project explores methods and architectures that use machine learning to predict and install network flows before they arrive at a software-defined networking (SDN) domain. In Reactive SDN, a new flow causes interaction between the SDN controller and the SDN switch. The goal of the project is to reduce the delay caused by these controller-switch interactions to process new flows.
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Cumulative usage · Jul 2, 2025 – Jul 2, 2026
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