Joint routing and bitrate adjustment for DASH video via neuro-dynamic programming in SDN

Abstract

This paper considers the joint routing and bitrate adjustment optimization for DASH (Dynamic Adaptive Streaming over HTTP) video service using neuro-dynamic programming (NDP) in softwaredefined networking (SDN). We design an open optimization architecture based on OpenFlow based SDN. Following this architecture, we formulate the joint routing and bitrate adjustment problem as a Markov Decision Process (MDP) for maximizing the average reward. In order to solve the curses of dimensionality, we employ neuro-dynamic programming method to conceive an online learning framework and develop a NDP based joint routing and bitrate adjustment algorithm for DASH video service. At last, an emulation platform based on POX and Mininet is constructed to verify the performance of the proposed algorithm. The experimental results indicate our algorithm has more excellent performance compared with OSPF based algorithm.