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IEEE/ICACT20260358 Slide.01        [Big Slide]       [YouTube]	Oral Presentation
	We are here to discuss how we can make network monitoring intelligent and adaptive. Our work introduces BRIGHT: a Bayesian Reinforcement Learning framework for Intelligent Traffic Monitoring in Software-Defined Networks. The core challenge we address is achieving efficient network measurement without sacrificing accuracy or overwhelming the control plane. We propose a solution that moves beyond static optimization to a dynamic, learning-based approach. This research was conducted at the University of Chinese Academy of Sciences. We believe BRIGHT represents a significant step forward in how operators manage and measure large-scale SDN environments. Lets start by defining the problem space and the limitations of current approaches.

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