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CD-GAIN: Measuring Traffic Gains from
Peer-assisted Content Delivery
Dmytro Karamshuk1
, Nishanth Sastry1
, Jigna Chandaria2
, Andy Secker2
1
King's College London, 2
BBC R&D
ESPRC project in collaboration with BBC R&D
Video Delivery
Network user
44% of UK' households
user user
user
user user
user
Video traffic now accounts for 66% of all traffic on the
Internet and is predicted to reach 79% by 2018
over 50% of all traffic for streaming TV
Appetite comes with Eating
BBC iPlayer
Content is King
Video Delivery
Network
user
user user
user
user
user
average of 5K users online every sec in the first day after release
5K duplicates
Solution: ask users for assistance
Higher Demand means Higher Savings
ci
=ui
ri
Average number of peers online
G(c)=1−(
c(1+e
c
c
−m
(m Γ(m)−Γ(1+m,c)))
m
+1)
−1
How much we can offload to peers
Model traffic swarms as infinite-server queue
(extending Menasche et al., CoNext 2009)
The share of traffic which can be offloaded to peers
is growing with the demand and the size of content
request ratecontent duration
London, Sep. 2013
Users - 2.2 M
IP address - 1.3 M
Sessions - 15.9 M
Traffic - 6.5 Gbps
Records in the Dataset:
<network id, ISP, user id, request time, session duration,
bitrate, content id>
So, How Much we can Offload?
theoretical
● model is in a good agreement with simulations
● significant traffic savings can be achieved despite constraints
What do we do with the Obstacles
Eight biggest ISPs account for
over 70% of traffic
Two main bitrate formats
dominate in over 70% of sessions
Fragmentation of traffic by ISP and bitrate formats
yields several large content swarms
Top-5% of the content
corpus accounts for 80% of traffic
Why it works in the end?
● “online while watching” model is important
● most traffic is generated by a small amount of popular content
Takeaways
● online while watching model and long-duration content are
crucial factors for feasibility of peer-assistant content delivery
● fragmentation of peer-to-peer swarms by ISP, quality format
and content doesn't impose significant limitations on the
system
● up to 80% of all traffic for the whole content corpus in
iPlayer can be offloaded for the biggest ISPs
Visit our website:
http://bit.ly/cd-gain
Dmytro Karamshuk
King's College London
follow me on Twitter: @karamshuk

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Measuring Traffic Gains from Peer-assisted Content Delivery

  • 1. CD-GAIN: Measuring Traffic Gains from Peer-assisted Content Delivery Dmytro Karamshuk1 , Nishanth Sastry1 , Jigna Chandaria2 , Andy Secker2 1 King's College London, 2 BBC R&D ESPRC project in collaboration with BBC R&D
  • 2. Video Delivery Network user 44% of UK' households user user user user user user Video traffic now accounts for 66% of all traffic on the Internet and is predicted to reach 79% by 2018 over 50% of all traffic for streaming TV Appetite comes with Eating BBC iPlayer
  • 3. Content is King Video Delivery Network user user user user user user average of 5K users online every sec in the first day after release 5K duplicates Solution: ask users for assistance
  • 4. Higher Demand means Higher Savings ci =ui ri Average number of peers online G(c)=1−( c(1+e c c −m (m Γ(m)−Γ(1+m,c))) m +1) −1 How much we can offload to peers Model traffic swarms as infinite-server queue (extending Menasche et al., CoNext 2009) The share of traffic which can be offloaded to peers is growing with the demand and the size of content request ratecontent duration
  • 5. London, Sep. 2013 Users - 2.2 M IP address - 1.3 M Sessions - 15.9 M Traffic - 6.5 Gbps Records in the Dataset: <network id, ISP, user id, request time, session duration, bitrate, content id>
  • 6. So, How Much we can Offload? theoretical ● model is in a good agreement with simulations ● significant traffic savings can be achieved despite constraints
  • 7. What do we do with the Obstacles Eight biggest ISPs account for over 70% of traffic Two main bitrate formats dominate in over 70% of sessions Fragmentation of traffic by ISP and bitrate formats yields several large content swarms
  • 8. Top-5% of the content corpus accounts for 80% of traffic Why it works in the end? ● “online while watching” model is important ● most traffic is generated by a small amount of popular content
  • 9. Takeaways ● online while watching model and long-duration content are crucial factors for feasibility of peer-assistant content delivery ● fragmentation of peer-to-peer swarms by ISP, quality format and content doesn't impose significant limitations on the system ● up to 80% of all traffic for the whole content corpus in iPlayer can be offloaded for the biggest ISPs
  • 10. Visit our website: http://bit.ly/cd-gain Dmytro Karamshuk King's College London follow me on Twitter: @karamshuk