on factors affecting the usage and adoption of a nation-wide tv streaming service
TRANSCRIPT
On Factors Affecting the Usage and Adoption of aNation-wide TV Streaming Service
Dmytro Karamshuk1, Nishanth Sastry1, Jigna Chandaria2, Andy Secker2
1King's College London, 2BBC R&D
CD-GAIN: EPSRC project in collaboration with BBC R&D, http://bit.ly/cd-gain
CISCO Visual Networking IndexSome Figures
• Video traffic is predicted to reach 79% by 2018
• Three-fourths of mobile traffic will be video by 2019
Users - 32 M/month
IP address – 20 M/month
Sessions - 1.9 Billion
May 2013 – Jan 2014
≈ 50% of the UK population
Data-driven Analysis
2 x [INFOCOM’2015], [WWW’2013]
2 x [Under Submission]
≈ 50% of the UK population
First-mile view of the UK’s IP-ecosystem
• Focus on a national market
• Cover 50% of population
• Focus on a single app
Unlike previous studies
• Capture user and network ids
• Cross ISPs• First-mile view
Geographic differencesAverage per-user # sessions
Infrastructural support is important
Correlation with Ofcom statistics
Device-specific differences
Mobile users navigate morebut complete less
Per user activity levels Per user completion ratio
Influence of External Events
Daily volume of Live accesses
Mobile consumption is affected by external events
… jumps for mobiles during Wimbledon
ISP-level viewFixed-line Internet market (5 representative providers)
Mobile market is more dynamic than the fixed-line Internet market
Mobile Internet market (5 representative providers)
Pricing Models
All-you-can-eat data(M1, M5)
Limited-cap data packages(M2 – M4)
All-you-can-eat plans boost users’ consumption
Behavioral Shift
• Fixed-line accesses (F1-F5) peaks in the evening
• Limited data caps (M2-M4) peak in commute hours
Mobile users watch more during commutes
Further on cross-ISPs interactionsCompletion across different ISPs
Users complete watching across different sessions and networks
Fixed-line ISPs Mobile ISPs
Speculative Content Pre-fetching
Pre-fetch at home Watch during commutes
Speculative pre-fetching can save up to 50% of mobile traffic
Conclusions• user engagement depends on the level of infrastructural support
• mobile users navigate more but complete less and have adisproportionate share of live access
• there is substantial difference in access patterns between fixed-line ISPs, mobile ISPs with all-you-can-eat data and limited data-caps
• this difference can be effectively exploited in shared mobile-fixed infrastructures
• there is a lot potential in mobile content pre-fetching
Dmytro KaramshukKing's College London
follow me on Twitter: @karamshuk
Our website: http://bit.ly/cd-gain