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DTSTART:20201004T030000
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DTSTAMP:20200922T114004Z
UID:021EF356-994D-43EA-B0E3-940199889F28
DTSTART;TZID=Australia/Melbourne:20200922T170000
DTEND;TZID=Australia/Melbourne:20200922T183000
DESCRIPTION:Talk abstract:\n\nWith video traffic accounting for more than 6
 0% of the global downstream Internet traffic in 2019\, video streaming rep
 resents 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 Q
 uality of Experience (QoE). Recently\, the Internet Engineering Task Force
  (IETF) has standardised three Active Queue Management (AQM) schemes – P
 IE (RFC8033)\, CoDel (RFC8289) and FQ-CoDel (RFC8290). These schemes are b
 eing progressively deployed at the last-mile Internet Service Providers’
  (ISP) end-points and home gateways to counteract bufferbloat and will lik
 ely impact consumer video streams.\n\nIn 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 performanc
 e in typical consumer home broadband environments.\n\nSpeaker bio:\n\nDr. 
 Jonathan Kua received the B.Eng. (First Class Hons.) degree in telecommuni
 cations 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 Sc
 hool of Information Technology at Deakin University. His research interest
 s are in the broad areas of computer systems and data networking\, includi
 ng network measurements\, adaptive multimedia streaming\, data transport p
 rotocols and bottleneck queue management techniques. He is also interested
  in emerging communication technologies for the Internet of Things\, distr
 ibuted computing and networked systems.\n\nSpeaker(s): Dr. Jonathan Kua\, 
 \n\nVirtual: https://events.vtools.ieee.org/m/238565
LOCATION:Virtual: https://events.vtools.ieee.org/m/238565
ORGANIZER:golnar.khomami@ieee.org
SEQUENCE:7
SUMMARY:When Video Streaming and Active Queue Management Collides
URL;VALUE=URI:https://events.vtools.ieee.org/m/238565
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;Talk abstract:&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;Wi
 th video traffic accounting for more than 60% of the global downstream Int
 ernet traffic in 2019\, video streaming represents a significant portion o
 f 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). Rec
 ently\, the Internet Engineering Task Force (IETF) has standardised three 
 Active Queue Management (AQM) schemes &amp;ndash\; PIE (RFC8033)\, CoDel (RFC8
 289) and FQ-CoDel (RFC8290). These schemes are being progressively deploye
 d at the last-mile Internet Service Providers&amp;rsquo\; (ISP) end-points and
  home gateways to counteract bufferbloat and will likely impact consumer v
 ideo streams.&lt;br /&gt;&lt;br /&gt;In this talk\, speaker will present the benefits 
 of these emerging AQM schemes in broadband networks and their impact on vi
 deo streaming traffic. He will then present an experimentally validated te
 chnique they have proposed for improving streaming performance in typical 
 consumer home broadband environments.&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Speaker bio&lt;/strong&gt;
 :&lt;/p&gt;\n&lt;p&gt;Dr. Jonathan Kua received the B.Eng. (First Class Hons.) degree 
 in telecommunications and network engineering and the Ph.D. degree in tele
 communications engineering from Swinburne University of Technology\, in 20
 14 and 2019\, respectively. He is currently Lecturer in Internet of Things
  within the School of Information Technology at Deakin University. His res
 earch interests are in the broad areas of computer systems and data networ
 king\, including network measurements\, adaptive multimedia streaming\, da
 ta transport protocols and bottleneck queue management techniques. He is a
 lso interested in emerging communication technologies for the Internet of 
 Things\, distributed computing and networked systems.&lt;/p&gt;
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