||Optimising DASH over AQM-enabled Gateways Using Intra-chunk Parallel Retrieval (Chunklets)
||EN413, Level 4, EN Building
||Multimedia streaming is a significant source of Internet traffic, with Netflix and YouTube accounting for more than 50% of North American fixed network peak download traffic in 2016. Dynamic Adaptive Streaming over HTTP (DASH) is a recent standard for live and on-demand video streaming services, where clients adapt the video quality on-the-fly to match the network capacity by requesting multi-rate video chunk-by-chunk. Emerging Active Queue Management (AQM) schemes such as PIE and FQ-CoDel are being progressively deployed either at the ISP-end and/or home gateway to counter bufferbloat and will impact consumer DASH streams. We propose using intra-chunk parallel connections (chunklets) to retrieve DASH content when bottlenecks implement AQMs. We experimentally evaluate and characterise the impact of using chunklets over traditional FIFO, symmetric/asymmetric PIE and FQ-CoDel AQM bottlenecks. We show FQ-CoDel's flow isolation and fair capacity sharing ability enables DASH chunklets to attain the best throughput multiplication effect, hence translating to better user experience in the presence of competing elastic flows.
This seminar is a trial run for a paper to be presented at the 26th International Conference on Computer Communications and Networks (ICCCN 2017) which will be held in Vancouver, Canada (http://icccn.org/icccn17/).
||Jonathan has received his Bachelor of Engineering (Telecommunication and Network Engineering) degree with First Class Honours from Swinburne University of Technology, Melbourne in 2014. He is currently a PhD candidate at the Internet For Things (I4T) Research Lab.