A MULTI-TIER FOG VÍDEO STREAMING FRAMEWORK FOR ENERGY CONSTRAINED MOBILE DEVICES
For computing, cloud computing, edge computing, wireless network, mobile devices, multimedia, vídeo on demand, H264, H265
Users are changing their traditional communication paradigm based on voice calls or text messages to real-time or ondemand video services consumed on mobile devices. In this sense, the transmission of video content considering an adequate Quality of Experience (QoE) in mobile wireless networking infraestrutures is a critical issue in both academic and industrial communities. In this context, both vídeo caching and adaptation schemes improve the QoE of delivered video. However, it is important to evaluate the performance of downloading the video videos with different codec configuration and chached closer to the user to measure the gain from the user perspective. We designed a multi-tier fog computing framework and evaluate the performance of dowloading the video coded into H264/AVC and H.265 with diferent bitrate in a scenario with and without network congestion. We colleted QoE metrics and energy to analyze the gains for each video configuration. These results are important for understanding the use of cache and transcoding schemes in multimedia networking scenarios.