Allowing digital video users to make choices of picture size and codec would significantly reduce energy usage, electricity costs and the carbon footprint of Internet users. Our empirical investigation shows a difference of up to a factor of 3 in energy usage for video decoding using different codecs at the same picture size and bitrate, on a desktop client… (More)
Digital video is responsible for the largest proportion of traffic on the Internet today - upto ~70%. However, very little published research has examined the energy impact of this growing traffic type on a global scale (on client systems, servers and in the network). We summarise results and lessons learned from our measurement-based experiments on the… (More)
Through measurements on our testbed, we show how users of Netflix could make energy savings of up to 34% by adjusting video quality settings. By using Netflix as a case study, we aim to assess the impact of energy usage in Video-on-demand (VoD) services. We estimate the potential impact of video quality settings on energy usage on a global scale.
Through measurements on our testbed, we show how users of Netflix could make energy savings of up to 34% by adjusting video quality settings. We estimate the impacts of these quality settings on the energy consumption of client systems and the network. If users exercise choice in their video streaming habits, over 100 GWh of energy a year could be saved on… (More)