When Video Streaming and Active Queue Management Collides
Talk abstract:
With video traffic accounting for more than 60% of the global downstream Internet traffic in 2019, video streaming represents a significant portion of inbound traffic to the home environment. Dynamic Adaptive Streaming over HTTP (DASH) is a standard for live and on-demand video streaming services, where clients adapt video quality on-the-fly to match network capacity in order to provide consumers with a high Quality of Experience (QoE). Recently, the Internet Engineering Task Force (IETF) has standardised three Active Queue Management (AQM) schemes – PIE (RFC8033), CoDel (RFC8289) and FQ-CoDel (RFC8290). These schemes are being progressively deployed at the last-mile Internet Service Providers’ (ISP) end-points and home gateways to counteract bufferbloat and will likely impact consumer video streams.
In this talk, speaker will present the benefits of these emerging AQM schemes in broadband networks and their impact on video streaming traffic. He will then present an experimentally validated technique they have proposed for improving streaming performance in typical consumer home broadband environments.
Speaker bio:
Dr. Jonathan Kua received the B.Eng. (First Class Hons.) degree in telecommunications and network engineering and the Ph.D. degree in telecommunications engineering from Swinburne University of Technology, in 2014 and 2019, respectively. He is currently Lecturer in Internet of Things within the School of Information Technology at Deakin University. His research interests are in the broad areas of computer systems and data networking, including network measurements, adaptive multimedia streaming, data transport protocols and bottleneck queue management techniques. He is also interested in emerging communication technologies for the Internet of Things, distributed computing and networked systems.
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Speakers
Dr. Jonathan Kua
When Video Streaming and Active Queue Management Collides
Jonathan Kua received the B.Eng. (First Class Hons.) degree in telecommunications and network engineering and the Ph.D. degree in telecommunications engineering from Swinburne University of Technology, in 2014 and 2019, respectively. He is currently Lecturer in Internet of Things within the School of Information Technology at Deakin University. His research interests are in the broad areas of computer systems and data networking, including network measurements, adaptive multimedia streaming, data transport protocols and bottleneck queue management techniques. He is also interested in emerging communication technologies for the Internet of Things, distributed computing and networked systems.