Distributed video transcoding on a heterogeneous computing platform

The requirement for real-time video transcoding systems has significantly increased due to the easy and widely available access to high resolution video streams and large-scale applications in recent years. In this paper, we propose a real-time distributed video transcoding system working on heterogeneous environment to tackle the high requirement of such applications. It allows multiple computers to be networked together to execute the same transcoding task so that the system can process more video streams in real time. Most importantly, the proposed method emphasizes on the velocity of the video data which involves the continuous input video stream and outcomes of transcoded video output stream that is accessible on-the-fly in contrast to the batch-oriented approach such as the MapReduce framework, where output latency can be significant. The performance of the proposed system can be further improved by using a more intelligent scheduler for video frames distribution.