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The impact of active queue management on DASH-based content delivery

conference contribution
posted on 2016-01-01, 00:00 authored by Jonathan KuaJonathan Kua, G Armitage, P Branch
© 2016 IEEE. With Netflix and YouTube accounting for more than 50% of North American, fixed network peak download traffic in 2015, video streaming is a significant source of Internet traffic. Dynamic Adaptive Streaming over HTTP (DASH) is a recent standard for live and on-demand video streaming services, where clients adapt their behaviour on-the-fly to match regularly updated estimates of network capacity. Consumer DASH streams are likely to be bottlenecked by last-mile ISP links, and impacted by emerging active queue management (AQM) schemes being deployed to counter bufferbloat. We experimentally characterise and evaluate the impact of bottlenecks utilising PIE, FQ-PIE, CoDel and FQ-CoDel AQM schemes on DASH streams. We show that PIE's higher burst tolerance provides better streaming quality for single DASH stream over moderate to high RTT paths and when coupled with a FlowQueue scheduler's flow isolation capabilities, FQ-PIE protects DASH streams in the presence of cross-traffic.

History

Pagination

121-128

Location

Dubai, United Arab Emirates

Start date

2016-11-07

End date

2016-11-10

ISBN-13

9781509020546

Language

eng

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

LCN 2016 : Proceedings of the 41st IEEE Conference on Local Computer Networks

Event

IEEE Conference on Local Computer Networks (41st : 2016 : Dubai, United Arab Emirates)

Publisher

IEEE

Place of publication

Piscataway, N.J.

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