ITM Web Conf.
Volume 59, 2024II International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-II 2023)
|Number of page(s)
|Hybrid Modeling and Optimization in Complex Systems: Advances and Applications
|25 January 2024
Process management of heterogeneous services in a digital university based on modified GERT networks
Siberian Federal University,
2 Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia
3 OJSC «Krastsvetmet», Krasnoyarsk, Russia
* Corresponding author: Korp_0777@mail.ru
The research is devoted to the issues of managing the processes of the information and computing environment in a digital university, which have a distributed, heterogeneous, probabilistic, poorly controlled nature. To improve the efficiency of managing the processes in a digital university, the authors of the research analyzed scientific papers in the field of the information technology infrastructure of organizational and economic systems and universities, formulated the basic principles of information technology infrastructure in a digital university within the conceptual framework of innovative infrastructure for modern organizations, developed a generalized scheme of IT services in a digital university, and elaborated a mathematical apparatus of modified GERT networks to control the processes of heterogeneous services in a digital university. The practical value of the research results is related to the development of new approaches to information management and processes of a modern organization based on the principles of consistency, complexity, and compliance with an appropriate balance between the distribution and integration of data flows. These developments can be replicated with certain modifications to a wide range of organizational and economic systems that are in the stage of digital transformation.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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