Joint Admission Control and Routing Via Neuro-Dynamic Programming for Streaming Video over SDN

This paper solves the joint problem of admission control and routing for the video transmission in software-defined networking (SDN). We utilize next generation network called SDN technology to construct an architecture for the proposed combined optimization problem. Our heuristic algorithm of the proposed combined optimization problem can be deployed on this architecture. Based on this background, we formulate the combined optimization problem into Markov Decision Process (MDP) with the aim of maximizing the average reward. In allusion to the challenge of the curses of dimensionality, an online learning framework is designed by employing neuro-dynamic programming (NDP) method. We construct an emulation platform based on POX controller and Mininet to confirm high efficiency of our solution. Experiment results show that our NDP based algorithm has an observably performance improvement compared with OSPF based benchmark algorithm.