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SUMMARY:When Streaming and Active Queue Management Collides: Experiments w
 ith Chunklets - Jonathan Kua (Swinburne University of Technology)
DTSTART:20171107T140000Z
DTEND:20171107T150000Z
UID:TALK94888@talks.cam.ac.uk
CONTACT:Liang Wang
DESCRIPTION:This talk presents the background to our interest in optimisin
 g modern streaming behaviour over new queue management strategies likely t
 o emerge in last-mile networks in coming years\, and some of the technical
  choices we have made to experimentally explore this space.\n\nWith Netfli
 x and YouTube accounting for more than 50% of North American fixed network
  peak download traffic in 2016\, multimedia streaming represents a signifi
 cant source of Internet traffic. Dynamic Adaptive Streaming over HTTP (DAS
 H) 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 bott
 lenecked by emerging Active Queue Management (AQM) schemes such as Proport
 ional Integral controller Enhanced (PIE) and FlowQueue-Controlled Delay (F
 Q-CoDel) which are being progressively deployed either at the home gateway
  or at the Internet Service Providers' end points in order to counter buff
 erbloat.\n\nWe study the intricate interactions between DASH streams and A
 QMs and propose a new use case - using intra-chunk parallel network connec
 tions (chunklets) for DASH content retrieval over AQM bottlenecks. We expe
 rimentally evaluate and characterise the impact of using chunklets over tr
 aditional FIFO\, PIE and FQ-CoDel bottlenecks. We show that chunklets enab
 le the DASH client to attain a throughput multiplication effect\, hence tr
 anslating to better user experience in the presence of competing elastic f
 lows.\n\nBiography:\n\nJonathan Kua received the Bachelor of Engineering (
 First Class Hons.) degree in telecommunications and network engineering fr
 om Swinburne University of Technology\, Melbourne\, Australia in 2014. He 
 is currently a PhD candidate at the Internet For Things (I4T) Research Lab
 oratory within the School of Software and Electrical Engineering at Swinbu
 rne University of Technology. His research interests include IP-based cont
 ent delivery\, adaptive multimedia streaming\, data transport protocols an
 d active queue management.
LOCATION:FW11\, Computer Laboratory\, William Gates Building
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