Phenomenological Model for Growth of Volumes Digital Data
Andrey V. Makarenko

TL;DR
This paper presents a phenomenological model of digital data growth, viewing the digital industry as a self-organizing, nonlinear system connected to human civilization, predicting stabilization of data production at 13.2 ZB annually.
Contribution
It introduces a system-cybernetic mathematical model of digital data growth, offering a constructive alternative to apocalyptic perspectives.
Findings
Future data production rate stabilizes at 13.2 ZB per year
System exhibits self-organizing and nonlinear behavior
Model provides insights into digital data growth dynamics
Abstract
Currently, experts from IT industry are closely monitoring the soaring total volume of digital data. Moreover the problem is not purely technical, it directly affects human civilization as a whole. The growth rate of the all increasing and is already very large. Began is actively appear apocalyptic scenarios of development IT technology, and humanity as a whole. In this paper we propose a constructive alternative to these emotional ideas. Invited to consider the digital industry as a complete system that is developing in close connection with human civilization. Moreover, system self-organizing and essentially nonlinear in its behavior. To study this system is applied system-cybernetic approach. The mathematical model is developed, shows that in the future rate of production of digital data is stabilize at 13.2 ZB per year.
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Taxonomy
TopicsInnovation Diffusion and Forecasting · Complex Systems and Dynamics · Scientific Research and Philosophical Inquiry
