The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
8 faster networks – faster to the abyss
1. Faster Networks
Faster to the Abyss?
Maximilian Ott
CTO, Incoming Media
Sr. Principal Researcher, NICTA
max@incoming-media.com
2. Objective
• Carriers need to provide a different service
• From “packet/bit delivery” to “content logistics”
• Outline
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Why nobody likes Carriers
The Standoff between Carrier & Service Providers
Incoming: Solving Mobile Video with Data Science
A Proposal for a new Carrier Service
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8. But it is a Symbiotic Dependency
• Increased User Experience, increased Income
• Great User Experience requires great network
• Service Providers need to incentivize Carriers
to help maximizing User Engagement
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10. How to Share – Shapley Values?
• Model as a cooperative game which derives a
distribution among the players of the total
surplus generated by their coalition.
• http://en.wikipedia.org/wiki/Shapley_value
• Ma, et al, Internet Economics: The use of Shapley value for ISP
settlement, CoNeXT ‘07
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11. More pragmatic – Let’s look at Cost
• What is the REAL cost of delivering a Movie?
• Infrastructure (CapEx) & Operation (OpEx)
• Dominated by Capex
• Capex driven by PEAK demand
• Leads to Congestion Pricing
• Cost varies greatly based on congestion –
Orders of Magnitude!
• Same for service providers (servers, connectivity)
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12. More pragmatic – Let’s look at Cost
Real delivery cost of a Bit
can vary by
Orders of Magnitude!
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24. The Phone IS part of the network!
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Lots of storage
Lots of processing
Big screen
Lots of sensors
ONE, very loyal user
The FIRST screen
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25. Incoming Media
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Smart on-device content pre-positioning
Create great mobile video experiences
Increase engagement and satisfaction
Save money doing this
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26. Incoming’s Solution
• Pre-fetching content on the mobile utilizing
spare network capacity when available.
• Decision what and when to pre-fetch is based
on our ability to learn (and predict):
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user behavior
user’s social network behavior
mobile’s context and network environment
operator’s preferences
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28. Incoming TV App
• Proves value proposition
of Smart Caching to user
• Over 1.3M installs
• 80% cache-hit ratio
• Top 20% users watching
10 to 20+ mins per day
• Zero mobile data cost
• Instant start, zero stalling,
zero buffering, HD video
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30. Content Logistics Service
• New content-centric network API
• This is a bit different to CCN proposals
• Smart distributed storage
• This includes mobile device (terminals)
• Opportunistic pre-positioning of content
• Less-than-best-effort traffic class
• Only forward when there is nothing else to
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31. Content-centric network API
• Declaring of intent
• Probabilistic intent of future use
• Declaring meta-data
• Prediction algorithms rely on discovering
correlations
• Providing feedback
• What was the final utility of retrieved content
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32. Smart distributed storage
• Storage before bottleneck
• Using meta-data and past behavior to predict:
• what to store
• when to move between storage
• Building on IEEE 2200 (HQME)?
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33. New Traffic Class
• Less-than-best-effort traffic class
• Focus on keeping pipes full
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Using IP Header DiffServ Code Points (DSCP)?
Technology is there
May require new Traffic Management insights
Various large carriers are thinking about it
Interest in exploiting LTE Broadcast
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34. Conclusion
• Carriers need to provide a different service
• From “packet/bit delivery” to “content logistics”
• Video is THE dominating traffic source
• Need new technical approach & business
model to tackle it
• Move from ‘dumb pipes’ to ‘smart logistics’
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35. Faster Networks
Faster to the Abyss?
Maximilian Ott
CTO, Incoming Media
Sr. Principal Researcher, NICTA
max@incoming-media.com
