doi: 10.17586/2226-1494-2026-26-4-868-876


A model for determining the timing of modernization IT infrastructure of enterprises

M. I. Lomakin, A. V. Dokukin, I. Y. Oltyan, Y. M. Niyazova, I. M. Zlydnev


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Lomakin M.I., Dokukin A.V., Oltyan I.Yu., Niyazova Yu.M., Zlydnev I.M. A model for determining the timing of modernization of the IT infrastructure of enterprises. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2026, vol. 26, no. 4, pp. 868–876 (in Russian). doi: 10.17586/2226-1494-2026-26-4-868-876


Abstract
Current trends in the development of enterprises are directly related to the active introduction of Information Technology (IT) in all areas of their operation. IT today is not only a tool for collecting, processing and analyzing data, but also a leading factor in ensuring competitive advantages. Most enterprises understand the need and expediency of forming, maintaining, and modernizing an IT infrastructure that includes hardware, software, and a network connecting them into a single system of interaction. Currently, a significant number of large and medium-sized Russian companies need to modernize their IT infrastructure. This is due to the processes of functioning of companies, changes in the volume of work, sales, supplies, the number of employees, interactions with related parties, etc. At the same time, the processes of modernization of the IT infrastructure significantly lag behind the dynamics of changes in the fortunes of companies, which, as a rule, leads to inevitable losses. Due to the wear and tear of the elements of the IT infrastructure, the costs of maintaining them in working order, monitoring their technical condition, maintenance, and scheduled and unplanned repairs increase significantly. In this case, the task arises of determining the timing of the modernization of the IT infrastructure in terms of replacing its elements. Traditionally, this task is solved with known parameters of IT infrastructure modernization such as the uptime allocation function of its elements. The paper proposes a model for determining the timing of modernization of the IT infrastructure of enterprises in conditions when the initial information on the operating time for failure is represented by small samples. The scientific novelty of the work consists in obtaining a general solution to the problem of determining the timing of IT infrastructure modernization in conditions of incomplete data. The optimal time for upgrading the IT infrastructure is determined from the condition of maximizing the mathematical expectation of profit from its operation. The mathematical expectation of profit from the functioning of the IT infrastructure is based on the formula of full mathematical expectation for a complete group of events: an event identical to the fact that an element failure occurred (will occur) after the time of element replacement and an event identical to the fact that an element failure occurred (will occur) before the replacement time. The ratios for the mathematical expectation of profit are obtained with an exponential distribution of the uptime of an element of the IT infrastructure, the optimal value of the element replacement period is found, and it is shown that this value of the replacement period provides, precisely, the maximum value of the average profit. A ratio is obtained for the value of the lower estimate of the mathematical expectation of profit on a set of distribution functions with specified moments equal to the moments determined based on the initial sample of uptime. The problem of determining the optimal replacement time for an element of the IT infrastructure is formulated as the task of finding the maximum minimum of the mathematical expectation of profit, which is reduced to the problem of nonlinear one-dimensional programming. The model performance is demonstrated by the example of determining the timing of disk upgrades in a disk array using the HP EVA P6500 disk array as an example, TOPAZ Ethernet Switches. The results obtained can be used by specialists in assessing and optimizing the time frame for the modernization of the IT infrastructure.

Keywords: IT infrastructure, replacement period, model, distribution function, moments, limit state

References
1. Lisitsyn N.V., Viktorov V.K.Evaluation of information system's optimal lifetime информационнойсистемы. Problemy Upravlenia, 2006, no. 6, pp. 91–92. (in Russian)
2. Dynchenkova T.V. Methodology for substantiating the period of equipment replacement for a given period of the enterprise. Politechnical Student Journal, 2023, no. 1 (78), pp. 1–8. (in Russian). doi: 10.18698/2541-8009-2023-1-855
3. Rubtsov A.V., Mamaeva S.V., Khramova L.N.,Khramov I.V.Analysis of the Organization's Information System. Krasnoyarsk, Siberian Federal University, 2022, 113 p. (in Russian)
4. Kanishcheva O.I., Sluzhenko I.N.  Solving the problem of replacing equipment by dynamic programming. Proc. of the 22nd International Scientific and Practical Conference named after E.K. Algazinov, 2022. pp. 270–278. (in Russian)
5. Kornienko V.P., Solovyova M.H. Optimization Methods for Ensuring Enterprise Activity Based on Optimal Replacement Times for Production Assets. Moscow, MAKS Press, 2006. 212 p. (in Russian)
6. Kitushin V.G. Taking into account the reliability factor in determining the effective service life of electrical network equipment. Proc. of the 13th All-Russian Scientific and Technical Conference - Energy: Ecology, Reliability, Safety, 2007, pp. 187-190. (in Russian)
7. Khersonsky N.S., Bolshedvorskaya L.G. Selection and justification of methods and mathematical models of equipment wear and replacement. Crede Experto: transport, society, education, language, 2023, no. 1, pp. 27-41. (in Russian). doi: 10.51955/2312-1327_2023_1_27
8. Bogatyrev V.A., Bogatyrev S.V., Bogatyrev A.V. Assessment of the readiness of a computer system for timely servicing of requests when combined with information recovery of memory after failures. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2023, vol. 23, no. 3, pp. 608–617. (in Russian). doi: 10.17586/2226-1494-2023-23-3-608-617
9. Bogatyrev V.A., Bogatyrev S.V., Bogatyrev A.V. Recovery of real-time clusters with the division of computing resources into the execution of functional queries and the restoration of data generated since the last backup. Lecture Notes in Computer Science, 2024, vol. 14123, pp. 236–250. doi: 10.1007/978-3-031-50482-2_19
10. Bogatyrev V.A., Phung V.Q. Multi-criteria optimization of cluster structure with container virtualization. Journal of Instrument Engineering, 2025, vol. 68, no. 5, pp. 371-379. (in Russian). doi: 10.17586/0021-3454-2025-68-5-371-379
11. Lomakin M.I., Dokukin A.V. Estimation of the moments of a quantized random variable. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2023, vol. 23, no. 3, pp. 646–651. (in Russian). doi: 10.17586/2226-1494-2023-23-3-646-651
12. Lomakin M.I., Dokukin A.V., Oltyan I.Yu., Niyazova Yu.M. Guaranteed estimates of the gamma percent residual life of data storage equipment. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2024, vol. 24, no. 5, pp. 815–823. (in Russian). doi: 10.17586/2226-1494-2024-24-5-815-823
13. Lomakin M., Buryi A., DokukinA., Strekha A., Niyazova J., Balvanovich A. Estimation of quality indicators based on sequential measurements analysis. International Journal for Quality Research, 2020, vol. 14, no. 1, pp. 147−162. doi: 10.24874/ijqr14.01-10
14. Lomakin M.I., Sukhov A.V., Dokukin A.V., Niyazova Y.M. Assessment of reliability indicators of space vehicles under conditions of incomplete data. Cosmic Research, 2021, vol.  59, no. 3, pp. 199-203. doi: 10.1134/s0010952521030072
15. Buryi A.S., Lomakin M.I, Sukhov A.V. Quality assessment of “stress-strength” models in the conditions of big data. International Journal of Innovative Technology and Exploring Engineering, 2020, vol.9., no. 3, pp. 3276–3281. doi: 10.35940/ijitee.c8982.019320
16. Tkalich T.A. Methodological Foundations for Assessing the Economic Efficiency of Information Systems. Abstract of the dissertation for the degree of doctor of economics. Minsk, BSU, 2015, 51 p. (in Russian)
17. Seredenko E.S. Evaluation of the Economic Efficiency of Analytical Information Systems. Dissertation for the degree of candidate of economic sciences. Moscow: Lomonosov Moscow State University, 2014, 166 p. (in Russian)
18. Shurshev V.F., Gostiunin IU.A Expert evaluation of damage through enterprise information system failure. Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics, 2020, no. 4., pp. 112–120. (in Russian). doi: 10.24143/2072-9502-2020-4-112-120
19. Paroshin N.A., Meshcherov M.S. Analysis of reliability and security of data storage in RAID systems. Modern Scientific Research and Innovations, 2023, no. 9 (149), pp. 8. (in Russian)
20. Afonin I. Reliability of redundant disk arrays. Modern Automation Technologies, 2019, no. 3, pp. 94-103.(in Russian)
21. Kayashev A.I., Rakhman P.A., Sharipov M.I. Reliability analysis of redundant disk arrays. Vestnik Ugatu, 2013, vol. 17, no. 2 (55), pp. 163–170.(in Russian)
22. Khomonenko A.D., Ermakov S.G., Khasan R.A. Reliability model of RAID-60 disk arrays. Ingineering Journal of Don, 2024, no. 1 (109), pp. 89–100
23. Guz I.D., Ostreikovsky V.A. Operational reliability analysis of hardware of data storage systems. Proceedings in Cybernetics, 2019, no. 3 (35), pp. 35–42. (in Russian)
24. Polessky S.N., Vostrikov A.V., Prokofieva E.N., Romanova I.I. Methods of assessing the reliability of computing with due account for the failure effect of auxiliary equipment. Information Technologies, 2019, vol. 25, no. 4, pp. 241–249. (in Russian). doi: 10.17587/it.25.241-249
25. Barabanova E.A., Vytovtov K.A., Fedorovskaya A.N. Mathematical models and method for assessing the reliability of all-optical switches. Computational Nanotechnology, 2024, vol. 11, no. S5, pp. 47–54. (in Russian). doi: 10.33693/2313-223X-2024-11-5-47-54
26. Polessky S.N., Karapuzov M.A., Zhdanov V.V. Reliability of a local computer network based on a thin client and workstations. Reliability & Quality of Complex Systems, 2013, no. 4, pp. 66–74. (in Russian)
27. Ivanov A. Harsh environment Ethernet switches. Electronics: Science, Technology, Business, 2012, no. 7 (121), pp. 84–87. (in Russian)


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