A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP
User-perceived Quality-of-Experience (QoE) is critical in Internet video applications as it impacts revenues for content providers and delivery systems. Given that there is little support in the network for optimizing such measures, bottlenecks could occur anywhere in the delivery system. Consequently, a robust bitrate adaptation algorithm in client-side players is critical to ensure good user experience. Previous studies have shown key limitations of state-of-art commercial solutions and proposed a range of heuristic fixes. Despite the emergence of several proposals, there is still a distinct lack of consensus on: how best to design this client-side bitrate adaptation logic (e.g., use rate estimates vs. buffer occupancy).