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Mobile Data
Network Killer or Killer App?




November 14, 2012




       @Mobixell
                                www.mobixell.com
Agenda

» Mobile Data: Network Killer Or Killer App?

» Network Optimization: What You Probably Know

» Improving Customer Experience
   ›   Web Acceleration

   ›   Web Caching

   ›   Video Optimization

   ›   Congestion Management

» Securing Revenue Growth

» Q&A
About Mobixell
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
Mobile Video Growth is Inevitable




 12%
                     But they account for




     35%
 VZW customers use




 LTE                 of data traffic
Your Data Optimization Goals?



» Reduce traffic volume

» Free up bandwidth

» Less buffering

» Performance Differentiation

» New revenue streams
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
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
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
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%
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%
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
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
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)
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)
Optimize Only When Needed



   Cell
Available Bandwidth




                      2PM   3PM   4PM   5PM   6PM   7PM   8PM   9PM
Optimize Only When Needed


      Required                     Available
     Bandwidth            >       Bandwidth

          = Data Congestion

 Optimization Should be Used Only When Data is Congested
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
Mobixell EVO™: Self-detected Congestion



                   Transrating                        Cache
                                                    Management




                                                          Local
                 APPLICATION LEVEL                        Cache




                             Packet                                0.7 Mbps
      1.0 Mbps              Processor   Bandwidth
                                         Sensing
                                                                  1.0 Mbps
                                                                  Fast Path


                 KERNEL LEVEL
Turning Video into the Killer App


    Network                          Customer
   Efficiency      New              Experience
                 Revenue
                Generation
Value Added Services



                 • Parental control


                 • Safe browsing warning


                 • Malware scanning


                 • 3rd party services
Example: Differentiated Advanced CoS/QoS


                Bronze          Silver          Gold
   Speed        3.8 Mbps       7.6 Mbps       21.6 Mbps

  Volume



Video Quality




  Browsing        20%            10%             NO
   Quality       Compression    Compression    Compression
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
Dynamic Upselling – Customer Engagement



Easy Migration Between Tiers


Clientless Implementation


Content Overlay Notifications   Upgrade to        HD

                                Current Package: Bronze
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
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
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
So, Network Killer or Killer App?




 It’s up to

 YOU
Any
                    Questions?
info@mobixell.com



     @Mobixell
                        www.mobixell.com

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Mobixell mobile data-network-kilMobile Data – Network Killer or Killer App?ler_or_killer_app

  • 1. Mobile Data Network Killer or Killer App? November 14, 2012 @Mobixell www.mobixell.com
  • 2. Agenda » Mobile Data: Network Killer Or Killer App? » Network Optimization: What You Probably Know » Improving Customer Experience › Web Acceleration › Web Caching › Video Optimization › Congestion Management » Securing Revenue Growth » Q&A
  • 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
  • 20. Mobixell EVO™: Self-detected Congestion Transrating Cache Management Local APPLICATION LEVEL Cache Packet 0.7 Mbps 1.0 Mbps Processor Bandwidth Sensing 1.0 Mbps Fast Path KERNEL LEVEL
  • 21. Turning Video into the Killer App Network Customer Efficiency New Experience Revenue Generation
  • 22. Value Added Services • Parental control • Safe browsing warning • Malware scanning • 3rd party services
  • 23. Example: Differentiated Advanced CoS/QoS Bronze Silver Gold Speed 3.8 Mbps 7.6 Mbps 21.6 Mbps Volume Video Quality Browsing 20% 10% NO Quality Compression Compression Compression
  • 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
  • 29. So, Network Killer or Killer App? It’s up to YOU
  • 30. Any Questions? info@mobixell.com @Mobixell www.mobixell.com

Editor's Notes

  1. 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
  2. Reduce traffic volume Efficient resource usage / Free up bandwidthCustomer experience – Less buffering / Accelerated browsing Differentiate through performanceNew revenue streams?
  3. Cost of data & customer service were 4th & 5th.
  4. Probes, Heuristics
  5. Probes, Heuristics
  6. Integrate with optimizationOptimize video for cost-effective operationBut focus on customer experienceAlso experimenting with eNodeB congestion management in the RAN
  7. Ad hoc Tier JumpingBased on perceived value of contentHD movieVideo conferencingCatch up on episodes during lunchVariable pricing based on current, local congestion conditions
  8. 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
  9. However… (Before leverage)Video optimization can defer CAPEXTargeted optimization helps to control expenses and reduce wasteTargeted optimization does not have to be expensive