Network-assisted strategy for dash over CCN

Abstract

MPEG Dynamic Adaptive Streaming over HTTP (DASH) has become the most used technology of video delivery nowadays. Considering the video segment more important than its location, new internet architecture such as Content Centric Network (CCN) is proposed to enhance DASH streaming. This architecture with its in-network caching salient feature improves Quality of Experience (QoE) from consumer side. It reduces delays and increases throughput by providing the requested video segment from a near point to the end user. However, there are oscillations issues induced by caching with DASH. In this paper, we propose a new Network-Assisted Strategy (NAS) based-on traffic shaping and request prediction with the aim of improving DASH flows investigating new internet architecture CCN.