Real-time video over programmable networked devices

In this paper, we introduce a novel architecture for programmable network nodes that work with a large number of real-time video streams. We first discuss challenges in transmission of video streams over bandwidth-limited networks, followed by the active approach as an advance for streaming realtime video. In our model, each programmable node makes admission decision for video frames based on evaluating their potential value. Frames "bid" their expected distortion price and the node chooses the best ones first until resource is fully utilized. Analysis of complexity and overhead shows clear benefit of our framework. Simulation experiments demonstrate its consistent out-performance in comparison to lagrangian-based Rate-Distortion Optimized schemes.