SOFTWARE ARCHITECTURE FOR MATHEMATICAL MODELING BASED ON ANALYSIS OF INTERVAL DATA USING CLOUD TECHNOLOGIES

Abstract

As part of this work, a software architecture for mathematical modeling based on the analysis of interval data using cloud technologies is proposed. The features of the proposed architecture are the implementation of the subsystem of interval modeling of static systems in a cloud service-oriented architecture, taking into account the optimization of computing schemes using the Google Cloud Run platform, the MapReduce distributed computing model, free software-interpreted tools and the use of RESTful APIs at all stages of mathematical modeling.

A number of diagrams are given that are used to illustrate the features of the proposed software architecture, and the specifics of their implementation in the process of practical implementation of the software system for mathematical modeling are described.

Based on the proposed architecture, a software system for mathematical modeling based on the analysis of interval data using cloud technologies has been implemented. One of the key components of this system is an intellectualized, consultative and diagnostic subsystem based on ChatGPT, the use of which allowed to significantly improve the practical use of the proposed solutions.