4. Mobile Video Growth is Inevitable
LTE will not solve the growing
congestion crisis, in fact…
Images taken from www.comp-fight.com under creative commons license
5. Mobile Video Growth is Inevitable
12%
But they account for
35%
VZW customers use
LTE of data traffic
6. Your Data Optimization Goals?
» Reduce traffic volume
» Free up bandwidth
» Less buffering
» Performance Differentiation
» New revenue streams
7. Network Quality = Video Performance
Mobile subscribers
74% blame their operator
when video buffers*
89%
Network quality is No.1
when selecting a
service provider **
* User survey Nov 2011 by On Device Research for Mobixell
** Accenture Mobile Web Watch 2012
8.
9. Web Optimization At All Layers
TCP HTTP Transport Web Content
Optimization Optimization Optimization
Object Pre-fetching &
Pipelining, Persistent
Any Content And Compression
Connections
Protocol Multipart Compose,
Avoid Unzip And Gzip
10. Content Compression
Text Based Content
accounts for Average Bytes per Page by Content Type
30% of page size Scripts – 210 kB
Stylesheets – 37 kB
Text can be compressed Flash – 81 kB
Up to 90% Other – 30 kB
HTML – 48 kB
Images - 684 kB
Total 1090 kB
11. Content Compression
Average Bytes per Page by Content Type
Scripts – 210 kB
Images account for Stylesheets – 37 kB
almost 60% Flash – 81 kB
Other – 30 kB
of page size HTML – 48 kB
Images - 684 kB
Total 1090 kB
Image optimization can save more than 80%
12. Image Optimization
Compress JPG Optimize Color palette
(AKA color depth reduction)
(AKA increase Q factor)
Image Requests by Format
PNG 24%
JPEG 45%
Other 1%
GIF 30%
13. Acceleration: HTTP content
Content Compression Of Web Page Content
Text 30% Images 70%
Total Potential Saving Of 53%
› Bandwidth saving, roundtrips saving
› QoE improvement – Bearer-side latency reduction
› Web browsing performance as a differentiator
14. Web Caching
1 Cache Popular HTTP Content At The Network Edge
2 Transparent Proxy
3 No Perceived Latency
4 Less Retrieval From Source = Less Bandwidth Utilization
5 Improved Quality Of Experience
15. Smooth DBRA™ – Customer Experience
Significant Reduction
In Video Buffering
(78% reduction in recent live deployment) Identifies congestion:
Senses available
bandwidth per flow
Continuously
optimizes output
bitrate vs.
pre-defined levels
Policy-based Activation (For Gold/Silver Tiers)
16. Adaptive Bitrate – Who Controls The Network?
» Content providers use ABR to
encode multi-bitrate videos
» Device selects pre-encoded file
to fit network conditions
» But - Relying on OTT ABR is like
handing over the keys
to your network resource
allocation
» Operators are judged on all
services (browsing, apps, video)
17. Optimize Only When Needed
Cell
Available Bandwidth
2PM 3PM 4PM 5PM 6PM 7PM 8PM 9PM
18. Optimize Only When Needed
Required Available
Bandwidth > Bandwidth
= Data Congestion
Optimization Should be Used Only When Data is Congested
19. Congestion Management & Optimization
» Congestion is transient & localized
» Target only congested traffic, times and users
» Avoid congestion before it impacts
user experience
» Use congestion detection techniques:
› Probes
› Heuristics
› RAN-based optimization
› Self-detected real-time
near-congestion prediction
24. Customer Engagement Tools
Promote Higher Margin Services
Retail Model:
» 90% buy off-list items
» Worth thousands of $$$s
per customer annually
» 1-in-6 supermarket
shoppers buy front-end
items (gum, magazines, etc.)
Because they are visible
25. Dynamic Upselling – Customer Engagement
Easy Migration Between Tiers
Clientless Implementation
Content Overlay Notifications Upgrade to HD
Current Package: Bronze
26. Bridging the Gap: OTT Content & Operators
Operators Can Partner With CDNs To Offer:
Realtime TCP Optimization
1 Congestion Status 2 & Acceleration 3 Fast-Play 4 Smooth DBRA
Smooth, video
Slow video start playback
Dynamically significantly
Reduced latency 74% blame their
deliver the best increases
and QoE operator when
content abandonment
rates video buffers
27. So, Network Killer or Killer App?
» Data Is Driving Mobile Growth. But…
» Data Can Kill Your Network. However…
» You Can Leverage Data Into A Killer App
28. So, Network Killer or Killer App?
Don’t optimize to free up bandwidth
Optimize to beat network congestion
Optimize only when absolutely necessary
& in a targeted way
Optimize to improve customer experience
and differentiate your brand
Use video quality to differentiate pricing
and ensure revenue growth
30. Any
Questions?
info@mobixell.com
@Mobixell
www.mobixell.com
Editor's Notes
Introduction:Mobile data will, in fact going to kill your network. Thank you. Any questions.Mobile data is the fastest growing traffic in mobile and is, in many global markets the largest contributor to network congestionCongestion kills customer experienceAnd it’s just getting worseBut first let me introduce myself
Reduce traffic volume Efficient resource usage / Free up bandwidthCustomer experience – Less buffering / Accelerated browsing Differentiate through performanceNew revenue streams?
Cost of data & customer service were 4th & 5th.
Probes, Heuristics
Probes, Heuristics
Integrate with optimizationOptimize video for cost-effective operationBut focus on customer experienceAlso experimenting with eNodeB congestion management in the RAN
Ad hoc Tier JumpingBased on perceived value of contentHD movieVideo conferencingCatch up on episodes during lunchVariable pricing based on current, local congestion conditions
90% of shoppers buy items not on their shopping lists - The Integer and M/A/R/C Research, Apr 2012The Integer and M/A/R/C ResearchImpulse items typically grab on average 11%-30% margin Canadians spend on average $3,720 each year on impulse items. – Bank of Montreal, Sept 2012Front-End Represents 1.2% of Store Sales and 1.6% of Profits - Front-End Focus Study1 in 6 Shoppers Purchases aFront-End Item - DHC Analysis of Retailer Data
However… (Before leverage)Video optimization can defer CAPEXTargeted optimization helps to control expenses and reduce wasteTargeted optimization does not have to be expensive