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PREDICTABLE
       NETWORK
      SOLUTIONS




  Broadband Market Evolution &
Measurement Capability Development
                          Dr Neil Davies
                  Predictable Network Solutions Ltd

                         Peter Thompson
                  Predictable Network Solutions Ltd

                          Martin Geddes
                    Martin Geddes Consulting Ltd


                      © 2012 All Rights Reserved
Dr Neil Davies
Co-founder, Predictable Network Solutions Ltd
    Ex: University of Bristol (23 years).
    Former technical head of joint university/research institute (SRF/PACT).

Peter Thompson
CTO, Predictable Network Solutions Ltd
    Ex: GoS Networks, U4EA, SGS-Thomson, INMOS & Universities of Bristol,
    Warwick and Cambridge.
    Authority on technical and commercial issues of converged networking.

Martin Geddes
Founder, Martin Geddes Consulting Ltd
    Ex: BT, Telco 2.0, Sprint, Oracle, Oxford University.
    Thought leader on future of telecommunications industry.

 PREDICTABLE
    NETWORK
   SOLUTIONS
PREDICTABLE
                                                                 NETWORK
                                                                SOLUTIONS
Dr Neil Davies
Co-founder, Predictable Network Solutionsex-ante network performance
                                  The only Ltd
    Ex: University of Bristol (23 years).     engineering company in the world.
    Former technical head of joint university/research institute (SRF/PACT).
                                          • New mathematical performance techniques.
                                        • Performance assessment methodology.
Peter Thompson                          • World’s first network contention management
CTO, Predictable Network         Solutionssolution.
                                           Ltd
    Ex: GoS Networks, U4EA, SGS-Thomson, INMOS & Universities of Bristol,
    Warwick and Cambridge.
    Authority on technical and commercial issues of converged networking.
                                           Consultancy on the future of telecoms and
Martin Geddes                                            the Internet.
Founder, Martin Geddes ConsultingBusiness model innovation.
                                •
                                  Ltd
    Ex: BT, Telco 2.0, Sprint, Oracle, Oxford University.product ideation.
                                          • Technology &
                                          • Organisation industry.
    Thought leader on future of telecommunicationsdevelopment.
                                          • Public & private workshops.
Broadband market evolution

             The
                           3
          broadband
           market is
          maturing.

                       2

                 1
Dial-up
  ISP
Car market evolution
                              3
   Other markets
     have gone
   through similar
      phases of
      maturity.
                         2

                     1
Horse &
carriage
1         (Embedded video – click here to view directly.)




 1970s car
  adverts
emphasised
  speed.



The metric of
 top speed
 was easy to
   define.
2


Then we saw
 consumer
choice move
  towards
   safety.


         We
     developed
     new crash
    test metrics.
3

  Today, fuel
economy tends
 to be high up
   the list of
  priorities in
buyers’ minds.




   Now we look
   at grammes
    of CO2/km.
Broadband market evolution


 Let’s look how
the broadband
   market is
   maturing
through similar
     phases.




        Dial-up
          ISP
Stage 1: Coverage


       At first,
    everything was
        about
      coverage.




                 1
Dial-up
  ISP
1
    Can you get the
    service in your
       location?
Increased usage,
so rising demand for…


                 Faster!

             1
   Dial-up
     ISP
Stage 2: Capacity



                     2        Adverts today
                               emphasise
                                 speed.

            1
Dial-up
  ISP
2




    Speed, speed,
       speed.
New applications & services,
so rising demand for…
                       Better!

                   2

             1
   Dial-up
     ISP
Stage 3: Capability
                                3

                      2

             1
Dial-up
  ISP
3    Capability



“Fit-for-purpose
  broadband”
3




Megabits per second are
    easy to measure.
But how do you measure
       capability?
Today’s market offers
don’t give you any of the
       right clues.
Unfit-for-purpose
“Circle of Death”




             Too many of these, and the
                service is regarded as
              unacceptable by the user.
Every application
has performance
     needs.         QoE Aspirations
                    time to first frame, contiguous playback
                    audio/video quality, lack of glitches,
                    interactivity (text, screen share)



            Network Expectations
                                                             These always


                    loss       ?        delay
                                                              map onto a
                                                               statistical
                                                             bound on loss
                                                              and delay.
A Recent Bad Skype Experience
                                                                      We did a 3-way
                                                                       Skype call to
                  1.8M/448k ADSL – wholesale 20CN
                                                                       demonstrate
                                                                      the fitness-for-
                                                  Loss: 0.1%.         purpose issue.
                                                  Delay: 40ms-50ms




                                   We measured
                                    the network
                                   loss and delay
                                   characteristics.


  20M/2M Cable broadband                   10M/1M ADSL Business LLU
              Loss: <0.5%.                 Loss: Wandering from a typical 0%-2% up
 Delay (one-way): 50ms-60ms, jumping         to as high as 48% for a second or two.
to 500ms for a second or two, then back                  Delay: 50-70ms
Different speeds & characteristics
        SLOW & STATIONARY LOSS/DELAY


                                      Good Experience




                 Bad Experience


      VERY FAST                        FAST
  & VARIABLE DELAY                & VARIABLE LOSS
Summary:
 Speed is not the only difference

                                         Bad Skype QoE
             VARIABILITY
                           HIGH




                           LOW
 Another
factor was                        SLOW             FAST
 affecting                           SPEED
outcomes.
Cable Broadband:
High speed, just as advertised
                        Cable user happens
                        to be on SamKnows
                        network measuring
                              service.

                         Figures show the
                        average throughput
                           is as claimed.
Cable Broadband:
SamKnows reported AVERAGE delays


                         Are these statistics
                        averaged over hourly
                         periods telling the
                            whole story?
Averages hide essential detail
                        Average Delay (by Day)                                                                                Average Delay (by Hour)
             100                                                                                                        800
                                        86.62                                                                                                                 720.28




                                                                                    Reported by SamKnows




                                                                                                                                                                                  Reported by SamKnows
                   80                                                                                                                                             668.74
                                                                                                                        600
Delay (ms)




                                                                                                           Delay (ms)
                   60
                                                42.63
                                                                                                                        400
                   40
                   20                                           21.68                                                   200                                      169.71
                                13.79                   14.51           14.49                                                                           133.06
                   0                                                                                                      0
                    07-May 09-May 11-May 13-May 15-May                                                                        00:00   04:00   08:00   12:00   16:00   20:00   00:00

    Delay varying too                            Day                                                                                              9th May
    fast for Skype to
                                                 Delay (during call – afternoon of 9th)




                                                                                                                                                                                 Directly measured
      compensate
                   600
      Delay (ms)




                   400
                   200
                        0
                            0            10                20                   30       40        50                                             60             70            80
                                                                                Per second during call
Quality of Experience:
       Depends on multiple characteristics
Determines the chance
 that applications can                     Most stationary connection had
 adapt to the network                      the BEST Skype experience
              STATIONARITY

                             HIGH
                                                              Fastest connection had the
                                                              WORST Skype experience




                             LOW


Stationarity is the                 SLOW       FAST
                                       SPEED
                                                              Determines which
    inverse of
                                                            applications are feasible
    variability
What does
   this network
     property
     enable?


STATIONARITY
The application
    Hierarchy of Need
                                     We need to evolve our metrics to capture a
                                     richer set of capabilities that contribute to
                                                 fitness-for-purpose.


 3. Reasonable bounds on loss and delay

 2. Sufficient stationarity
  1. Sufficient capacity
Note: exact requirements are application-dependent
So what?
• Measurement is de-facto regulation
  – If your measurements are partial, your regulation is
    partial, and users receive a partial service!
• Need a market framework for
  quantity and quality
  – Measure all network properties that impact
    application QoE
  – Encourage broadband service providers to offer a
    variety of trades between peak bandwidth and
    stationarity.
What next for regulators?
• Internal education
  – Dispel the bandwidth myth
  – Raise capability to reason on network quality management
• Measure and report stationarity
  – Allow service providers to compete on more than just (peak)
    bandwidth
• Engage stakeholders in a dialogue on quality
  – Raise external awareness and provide forum for collective industry
    progress
Dangerous myth:
More Speed is Always Better




             STATIONARITY
                            HIGH




                            LOW

                                   SLOW       FAST

                                          SPEED
Free
Future of Communications
       newsletter


www.martingeddes.com
PREDICTABLE
   NETWORK    Neil Davies
  SOLUTIONS
              Neil.Davies@pnsol.com
              Peter Thompson
              Peter.Thompson@pnsol.com


              Martin Geddes
              mail@martingeddes.com

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Geddes/PNSol - Broadband market evolution

  • 1. PREDICTABLE NETWORK SOLUTIONS Broadband Market Evolution & Measurement Capability Development Dr Neil Davies Predictable Network Solutions Ltd Peter Thompson Predictable Network Solutions Ltd Martin Geddes Martin Geddes Consulting Ltd © 2012 All Rights Reserved
  • 2. Dr Neil Davies Co-founder, Predictable Network Solutions Ltd Ex: University of Bristol (23 years). Former technical head of joint university/research institute (SRF/PACT). Peter Thompson CTO, Predictable Network Solutions Ltd Ex: GoS Networks, U4EA, SGS-Thomson, INMOS & Universities of Bristol, Warwick and Cambridge. Authority on technical and commercial issues of converged networking. Martin Geddes Founder, Martin Geddes Consulting Ltd Ex: BT, Telco 2.0, Sprint, Oracle, Oxford University. Thought leader on future of telecommunications industry. PREDICTABLE NETWORK SOLUTIONS
  • 3. PREDICTABLE NETWORK SOLUTIONS Dr Neil Davies Co-founder, Predictable Network Solutionsex-ante network performance The only Ltd Ex: University of Bristol (23 years). engineering company in the world. Former technical head of joint university/research institute (SRF/PACT). • New mathematical performance techniques. • Performance assessment methodology. Peter Thompson • World’s first network contention management CTO, Predictable Network Solutionssolution. Ltd Ex: GoS Networks, U4EA, SGS-Thomson, INMOS & Universities of Bristol, Warwick and Cambridge. Authority on technical and commercial issues of converged networking. Consultancy on the future of telecoms and Martin Geddes the Internet. Founder, Martin Geddes ConsultingBusiness model innovation. • Ltd Ex: BT, Telco 2.0, Sprint, Oracle, Oxford University.product ideation. • Technology & • Organisation industry. Thought leader on future of telecommunicationsdevelopment. • Public & private workshops.
  • 4. Broadband market evolution The 3 broadband market is maturing. 2 1 Dial-up ISP
  • 5. Car market evolution 3 Other markets have gone through similar phases of maturity. 2 1 Horse & carriage
  • 6. 1 (Embedded video – click here to view directly.) 1970s car adverts emphasised speed. The metric of top speed was easy to define.
  • 7. 2 Then we saw consumer choice move towards safety. We developed new crash test metrics.
  • 8. 3 Today, fuel economy tends to be high up the list of priorities in buyers’ minds. Now we look at grammes of CO2/km.
  • 9. Broadband market evolution Let’s look how the broadband market is maturing through similar phases. Dial-up ISP
  • 10. Stage 1: Coverage At first, everything was about coverage. 1 Dial-up ISP
  • 11. 1 Can you get the service in your location?
  • 12. Increased usage, so rising demand for… Faster! 1 Dial-up ISP
  • 13. Stage 2: Capacity 2 Adverts today emphasise speed. 1 Dial-up ISP
  • 14. 2 Speed, speed, speed.
  • 15. New applications & services, so rising demand for… Better! 2 1 Dial-up ISP
  • 16. Stage 3: Capability 3 2 1 Dial-up ISP
  • 17. 3 Capability “Fit-for-purpose broadband”
  • 18. 3 Megabits per second are easy to measure. But how do you measure capability?
  • 19. Today’s market offers don’t give you any of the right clues.
  • 20. Unfit-for-purpose “Circle of Death” Too many of these, and the service is regarded as unacceptable by the user.
  • 21. Every application has performance needs. QoE Aspirations time to first frame, contiguous playback audio/video quality, lack of glitches, interactivity (text, screen share) Network Expectations These always loss ? delay map onto a statistical bound on loss and delay.
  • 22. A Recent Bad Skype Experience We did a 3-way Skype call to 1.8M/448k ADSL – wholesale 20CN demonstrate the fitness-for- Loss: 0.1%. purpose issue. Delay: 40ms-50ms We measured the network loss and delay characteristics. 20M/2M Cable broadband 10M/1M ADSL Business LLU Loss: <0.5%. Loss: Wandering from a typical 0%-2% up Delay (one-way): 50ms-60ms, jumping to as high as 48% for a second or two. to 500ms for a second or two, then back Delay: 50-70ms
  • 23. Different speeds & characteristics SLOW & STATIONARY LOSS/DELAY Good Experience Bad Experience VERY FAST FAST & VARIABLE DELAY & VARIABLE LOSS
  • 24. Summary: Speed is not the only difference Bad Skype QoE VARIABILITY HIGH LOW Another factor was SLOW FAST affecting SPEED outcomes.
  • 25. Cable Broadband: High speed, just as advertised Cable user happens to be on SamKnows network measuring service. Figures show the average throughput is as claimed.
  • 26. Cable Broadband: SamKnows reported AVERAGE delays Are these statistics averaged over hourly periods telling the whole story?
  • 27. Averages hide essential detail Average Delay (by Day) Average Delay (by Hour) 100 800 86.62 720.28 Reported by SamKnows Reported by SamKnows 80 668.74 600 Delay (ms) Delay (ms) 60 42.63 400 40 20 21.68 200 169.71 13.79 14.51 14.49 133.06 0 0 07-May 09-May 11-May 13-May 15-May 00:00 04:00 08:00 12:00 16:00 20:00 00:00 Delay varying too Day 9th May fast for Skype to Delay (during call – afternoon of 9th) Directly measured compensate 600 Delay (ms) 400 200 0 0 10 20 30 40 50 60 70 80 Per second during call
  • 28. Quality of Experience: Depends on multiple characteristics Determines the chance that applications can Most stationary connection had adapt to the network the BEST Skype experience STATIONARITY HIGH Fastest connection had the WORST Skype experience LOW Stationarity is the SLOW FAST SPEED Determines which inverse of applications are feasible variability
  • 29. What does this network property enable? STATIONARITY
  • 30. The application Hierarchy of Need We need to evolve our metrics to capture a richer set of capabilities that contribute to fitness-for-purpose. 3. Reasonable bounds on loss and delay 2. Sufficient stationarity 1. Sufficient capacity Note: exact requirements are application-dependent
  • 31. So what? • Measurement is de-facto regulation – If your measurements are partial, your regulation is partial, and users receive a partial service! • Need a market framework for quantity and quality – Measure all network properties that impact application QoE – Encourage broadband service providers to offer a variety of trades between peak bandwidth and stationarity.
  • 32. What next for regulators? • Internal education – Dispel the bandwidth myth – Raise capability to reason on network quality management • Measure and report stationarity – Allow service providers to compete on more than just (peak) bandwidth • Engage stakeholders in a dialogue on quality – Raise external awareness and provide forum for collective industry progress
  • 33. Dangerous myth: More Speed is Always Better STATIONARITY HIGH LOW SLOW FAST SPEED
  • 34. Free Future of Communications newsletter www.martingeddes.com
  • 35. PREDICTABLE NETWORK Neil Davies SOLUTIONS Neil.Davies@pnsol.com Peter Thompson Peter.Thompson@pnsol.com Martin Geddes mail@martingeddes.com