Algorithm Development for Implementing the Information Resource Life Cycle Digital Twin

A. M. Popov ,
A. A. Popov ,
N. A. Romanov ,
A. K. Ovsyankin ,
A. Batyrbekova

Abstract

Currently, in many organizations that are engaged in information processing, there is a problem of operational processing of information resources. The daily volume of information processed in the structure of organizations increases every day. Therefore, the problem of processing and analysing an information resource in large volumes in a short time with an approximation to a real information system is very relevant. The problem of increasing the efficiency of information resources processing processes in IT departments is solved by creating a digital twin algorithm using simulation modeling. In this paper, the methods of simulation modeling, digital twin and the life cycle of an information resource are investigated. A digital twin of the information resource life cycle was designed, based on which a model was built in the AnyLogic simulation environment. The developed model will allow the selection of data ordering for the provision of processed data for other departments and the prediction of hardware capacities.

The article is not prepared yet for the html view. Check back soon.

Copyright information

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

About this article

Publication Date

27 February 2023

Article Doi

https://doi.org/10.15405/epct.23021.15

eBook ISBN

978-1-80296-960-3

Publisher

European Publisher

Volume

1

Print ISBN (optional)

-

Edition Number

1st Edition

Pages

1-403

Subjects

Hybrid methods, modeling and optimization, complex systems, mathematical models, data mining, computational intelligence

Cite this article as:

Popov, A. M., Popov, A. A., Romanov, N. A., Ovsyankin, A. K., & Batyrbekova, A. (2023). Algorithm Development for Implementing the Information Resource Life Cycle Digital Twin. In P. Stanimorovic, A. A. Stupina, E. Semenkin, & I. V. Kovalev (Eds.), Hybrid Methods of Modeling and Optimization in Complex Systems, vol 1. European Proceedings of Computers and Technology (pp. 117-125). European Publisher. https://doi.org/10.15405/epct.23021.15

Copy citation text