Research of high load web applications data distribution using neural network technologies

Abstract

The article proposes an approach to optimizing the distribution of data in the design of high load web applications. A model has been developed that describes the state of the server stations at the current time, which is suitable for further optimization of data distribution. An experiment was conducted on the distribution of the test sample using neural network technologies. The results of the distribution of data on server stations are given. Based on the results of the experiment, conclusions are drawn about the possibility of using neural network technologies in the distribution of data from high load web applications.