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.
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27 February 2023
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Hybrid methods, modeling and optimization, complex systems, mathematical models, data mining, computational intelligence
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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