Improving Quality of HTTP Adaptive Streaming with Server and Network-Assisted DASH

Abstract

Having a high-level overview of network resources, traffic pattern and return feedback to clients help them to adapt to the appropriate video quality, and ultimately achieve better Quality of Experience (QoE). Network-assisted approach's offer flexibility in traffic engineering and resource management while it has an overview of the network condition and client distribution. Leveraging flexibility of Software Defined Networking (SDN) combined with Server and Network-Assisted DASH (SAND) features allows enhance the quality of video streaming. This study provides a network-assisted approach for improving QoE in Over-the-Top (OTT) applications with exchanging network and client information. We show that in cooperation between the SDN controller and DASH Aware Network Elements (DANEs), network resources are efficiently used. Consequently, message exchange between network elements and manage the video quality requested by the client through a central controller along with prefetching specific segments at the edge, and directing clients to the appropriate edge can improve the video quality.