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

…which Raise Some IssuesUser Experience Infrastructural Support

Business Models

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

RoadmapGeography

ISPs

Devices

Fixed-line ISPs

Mobile ISPs

Pricing Models

Cross-ISPs

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

RoadmapGeography

ISPs

Devices

Fixed-line ISPs

Mobile ISPs

Pricing Models

Cross-ISPs

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

Behavioral Shift

+ =

Unlimited data plans (M1, M5) is a superposition of both

RoadmapGeography

ISPs

Devices

Fixed-line ISPs

Mobile ISPs

Pricing Models

Cross-ISPs

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