Abstract
The transition from IPv4 to IPv6 has become inevitable and urgent. However, Google’s statistics present that the actual adoption of IPv6 has been disappointing. Multiple stakeholders are reluctant to replace IPv4 with IPv6, for they have neither the certain future nor the clear technical guideline. Therefore, we propose a novel method to investigate the dynamical competition process between IPv4 and IPv6 through a biological analogy. Some biological concepts are applied to our novel model (i.e. IPv6 adoption dynamic model). This mode systematically quantifies IPv6 adoption and the dynamic process of IPv6 transition. We apply real measured data to our modeling system. The applied results can not only predict and prove whether IPv6 transition will succeed, but also seek precise technical guidelines on various transition mechanisms. Modeling IPv6 adoption from biological evolution is an initial attempt. This method can serve as an approximate guide to the technical design and policy decision of IPv6 transition.
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