A Cloud-Based Transcoding Framework for Real-Time Mobile Video Conferencing System

High-definition video applications are often challenging for mobile devices due to their limited processing capability and bandwidth-constrained network connection. To deal with this issue, this paper proposes a cloud based transcoding framework to achieve scalable and efficient video adaption for mobile devices. This framework introduces a prediction-based scheduling algorithm to optimize both latency requirement and cloud utility cost for mobile clients. Following this framework, we developed a prototype system based on Windows Azure. Experiment results show that our system can effectively provide low-latency and cost-efficient video service to mobile clients.