[rpd] Statistics on IPV4 allocation in Africa as of 2016

[Amreesh Phokeer]

Hi Mukom,

Thanks for your suggestions. There are many way to go around it and predictive modelling
based on longitudinal data/indicators can certainly help. It can also help classifying network operators
into groups (very unlikely, unlikely, likely, very likely) to deploy IPv6 based on data we 
have collected using mixed-methods techniques (measurements and surveys).

AFRINIC can then maybe tailor its IPv6 course delivery to the different target group.

Regards,
Amreesh

> On Aug 25, 2016, at 12:06 PM, Mukom Akong T. <mukom.tamon at gmail.com> wrote:
> 
> 
> On 28 June 2016 at 11:40,  <sm+afrinic at elandsys.com <mailto:sm+afrinic at elandsys.com>> wrote:
> Hi Mukom, Amreesh, Logan,
> At 06:30 17-06-2016, ALAIN AINA wrote:
> 3- Lets request AFRINIC R&D team to do an IPV6 readiness analysis per member:
> 
> - IPv6 allocation/assignments in Whois
> - Route6 objects in the IRR
> - Routing policy in the IRR
> - IPv6 prefixes in the routing table
> - IP6.arpa sub-domains delegation
> - DNS over IPv6
> - Org web site over IPv6
> - Etc…
> 
> And rank members based on their IPv6 readiness. It will tell where we are and may help folks making decisions.
> 
> I am contacting you as I would like to have the opinion of the Afrinic Research and Innovation Department about the above.  Would the above suggestions help to tell Africa where it is in terms of IPv6 readiness?  Are there any changes or improvements which should be made to the above suggestions?
> 
> 
> We essentially should be looking at data/indicators that are predictive of IPv6 readiness and adoption. The specific set of things you start measuring don't matter as much as continuously measuring it and refining it and tying it to the ultimate thing you want - amount of IPv6 traffic being passed.
> 
> 
> Or put t in R&D terms
> 
> a) Form a hypothesis about actions that will drive adoption
> b) Find measures of those activities and measure them
> c) Gather data 
> d) Analyse the data to to assess the hypothesis
> e) Adapt the hypothesis based upon the data 
> 
> The beauty of this model its that at step (d), you will know what measures/actions are useful, which ones are useless and what new ones to start measuring.
> 
> 
> 
> 
> 
> 
> 
> 
> -- 
> 
> Mukom Akong T.
> 
> LinkedIn:Mukom <https://www.linkedin.com/in/mukom>  |  twitter: @perfexcellent  
> ------------------------------------------------------------------------------------------------------------------------------------------
> “When you work, you are the FLUTE through whose lungs the whispering of the hours turns to MUSIC" - Kahlil Gibran
> -------------------------------------------------------------------------------------------------------------------------------------------

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