
Optimization of Information Resources Distribution in Common Information Space
https://doi.org/10.31854/1813-324X-2024-10-3-87-103
EDN: UFROMW
Abstract
The article solves the problem of optimal distribution of information resources across the storage nodes of a common information space. The relevance of the work is due to the contradictions between the required level of timeliness in a common information space and the insufficient level of development of a scientific and methodological apparatus for improving this property for similar systems. The research methods are based on the use of elements of queuing theories, Markov chains, evolutionary calculations, as well as statistics and general scientific methods (analysis, synthesis, comparison, deduction). The purpose of the work is to increase the timeliness of processing requests by officials to a common information space, taking into account the fulfillment of the requirements for sustainability and safety. Results. The goal was achieved through the development of scientific and methodological support: a model for the exchange of information resources and a methodology for optimizing the information resource allocation plan, as well as scientific and technical proposals for implementation, developed models and methods. When creating the model, conceptual, analytical and simulation approaches were used, which together make it possible to calculate indicators of timeliness, sustainability and safety for any distribution plan. The methodology for optimizing the information resource allocation plan allows you to create an optimal information resource allocation plan that meets the specified requirements. The use of these scientific results in the applied field made it possible to formulate an applied result with practical significance - scientific and technical proposals. In conclusion, an experimental assessment of the proposed approach is presented, proving its effectiveness. Novelty. The scientific results make it possible to evaluate the indicators of the common information space, as well as to search for an optimal plan for the distribution of information resources both at the design stage and at the stage of system reconfiguration. The theoretical significance of the work lies in the fact that it is aimed at further developing the theory of building a common information space in terms of optimizing the information resource allocation plan, and the practical significance lies in the development of technical and applied tools that improve the timeliness, security and sustainability of a common information space.
About the Authors
V. V. NikolaevRussian Federation
I. B. Saenko
Russian Federation
References
1. Khakhonova N.N. Place of accounting in the system of a single information space of an organization. Financial Research. 20151(46):184‒191. (in Russ.) EDN:TTGAHD
2. Emelyanova O.V. The structure of the information and analytical space of the innovation corporation. Economics, Statistics and Computer Science. 2015;4:174‒178. (in Russ.) EDN:ULFJQN
3. Saenko I.B., Nikolaev V.V., Mikhailichenko A.V. Distribution of information resources in a single information space built using mobile data processing centers. Proceedings of the 1st Scientific and Technical Conference on State and Prospects for the Development of Modern Science in the Direction of “IT technologies”, 24‒25 March 2022, Anapa, Russian Federation, vol.3.
4. Anapa: Military Innovation Technopolis "ERA" Publ.; 2022. p.5‒11. (in Russ.) EDN:SZQYHX
5. Vishvanath R, Nasreen A. Survey on Recent Technology of Storage Area Network and Network Attached Storage Protocols. International journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering. 2014;2(8):1784‒1789.
6. Kuvaev V.O., Efimov V.V., Chechulin A.A., Lyzhinkin K.V. Options for building a unified information space for the integration of diverse automated systems. Information and Space. 2015;4:83‒87. (in Russ.) EDN:VJFNDD
7. Nikolaev V.V. The model of information resource exchange in a special purpose common information space. Izvestiya Tula State University. 2024;2:158‒162. (in Russ.) DOI:10.24412/2071-6168-2024-2-158-159. EDN:EXVFPV
8. Gorobets V.V. Cloud model of on-line transaction processing system. Herald of Computer and Information Technologies. 2013;4(106):19‒24. (in Russ.) EDN:PYCHUL
9. Kingman J. Puassonovskie protsessy. Translation from English. Moscow: MCN-MO Publ.; 2007. 136 p. (in Russ.)
10. Taha H.A. Operations research: an introduction. New Jersey: Paerson Education, 2003.
11. Fabianovski I.N. Providing timely exchange of information resources based on distributed register technology. Izvestiya Tula State University. 2021;9:184‒194. (in Russ.) DOI:10.24412/2071-6168-2021-9-184-194. EDN:ZLEFDL
12. GOST R 59341-2021. Systems Engineering. Protection of information in system information management process. Moscow: Standartinform Publ.; 2021. (in Russ.)
13. Revnivykh A.V., Fedotov A.M. Availability of resources in information-processing systems. Vestnik NSU. Series: Information Technologies. 2014;12(1):55‒63. (in Russ.) EDN:SCLHLP
14. Lyubimova O.N., Siskov V.V. Construction and testing of regression models when processing the results of factorial experiments: for students studying in the direction of “Applied Mechanics”. Vladivostok: Far Eastern Federal University Publ.; 2017. 36 p. (in Russ.)
15. Simon D. Evolutionary Optimization Algorithms. John Wiley & Sons; 2013. 1002 p.
16. Bogdanov M.D., Rudinsky I.D. Using a genetic algorithm to solve the problem of finding the optimal path. Journal of Science and Education of North-West Russia. 2023;9(2):76‒88. (in Russ.) EDN:UXLSLY
17. Belov A.G., Moiseev S.A., Grigoriev A.V. Simulation modeling methods. Proceedings of the International Symposium on Reliability and Quality, vol.1. 2014. p.277‒279. (in Russ.) EDN:SPDJJF
18. Katalevsky D.Yu. Fundamentals of simulation modeling and system analysis in management. Moscow: Delo RANKHiGS Publ.; 2015. 496 p. (in Russ.)
19. Kutsyi N.V., Maltsev I.A., Tsvetkov D.Yu. Types of support for automated control systems. Proceedings of the XIth In-ternational Scientific and Practical Conference on Scientific Response to the Challenges of our Time: Technical and Technological Aspects, October 2018. Ufa: Aeterna Publ.; 2018. p.9‒11. (in Russ.)
20. Legkov K.E., Emelyanov A.V. Mathematical provision of automated control systems of information systems of special purpose in dealing with accounting and monitoring tasks. H&ES Research. 2016;8(S1):37‒43. EDN:YJWVUX
21. Kubasov I.A., Strelnikov F.I. On the prospects for the transition of automated information systems to domestic equipment and software // Proceedings of the International Scientific and Practical Conference on Strategic Development of the System of the Ministry of Internal Affairs of Russia: Status, Trends, and Prospects, 30 October 2019, Moscow, Russian Federation. Moscow: Academy of Management of the Ministry of Internal Affairs of Russia Publ.; 2019. p.115-118. EDN:ZWAPMX
Review
For citations:
Nikolaev V.V., Saenko I.B. Optimization of Information Resources Distribution in Common Information Space. Proceedings of Telecommunication Universities. 2024;10(3):87-103. (In Russ.) https://doi.org/10.31854/1813-324X-2024-10-3-87-103. EDN: UFROMW