S.-H. Gary Chan
The Hong Kong University of Science and Technology, HK
Title: Scaling up Video Streaming with Cloud and Fog: From Research To Deployment
Biography
Biography: S.-H. Gary Chan
Abstract
Due to the popularity of both live and on-demand streaming contents, video has become the mainstream in the Internet traffic. Video traffic is expected to continue to grow due to our demand for better video quality and penetration of mobile devices. Out of all the approaches to scale up video services to millions of users, over-the-top (OTT) delivery emerges as promising to achieve deep user penetration with wide geographical footprints. In order to tame the network congestion and better use network bandwidth in large-scale deployment, we have been conducting research and development of a novel OTT video streaming network using cloud and fog optimization. For live broadcasting, the major concern is to achieve low source-to-end delay and bandwidth cost. For on-demand contents, the major concern is where to replicate and access contents to achieve low interactive delay. In this talk, I will first highlight our research results in cloud and fog streaming. Over the past years, we have been working with industries to deploy the technology to large scale. I will share our experience in our deployment trials, and our technology transfer and commercialization activities in this regard.