A measurement study of energy consumption anc QoE trade-offs for DASH in mobile devices

Abstract

Judicious usage of battery during video streaming on mobile devices is crucial for its longer operational lifetime. In this paper, we conduct experiments to measure the energy footprint of popular dynamic adaptive streaming over HTTP (DASH) rate adaptation algorithms implemented on a mobile device. We analyzed the inherent trade-offs between energy consumption and quality of experience (QoE) with these rate adaptation algorithms. Our experimental results demonstrate that, the adaptation algorithms having lower energy consumption do not necessarily provides better QoE in terms of average bitrate played and number of playback Interruptions. Our results also highlight the category of rate adaptation algorithms that can save energy while ensuring a reasonable QoE.