Model of resource and quorum management for a blockchain-oriented distributed information system in a multi-cloud environment
DOI:
https://doi.org/10.30837/2522-9818.2026.2.185Keywords:
mathematical model; resource management; quorum; blockchain; information system; cloudAbstract
The subject of this study is a mathematical model for managing computing resources and ensuring quorum in a blockchain-oriented distributed information system within a multi-cloud environment. The goal of the work is to develop a set-theoretic model that formalizes the multi-cloud deployment of components of a blockchain-oriented distributed information system, taking into account its multi-level architecture, the heterogeneity of available resources, the aggregated resource state of nodes, their availability, and the conditions for ensuring quorum during operation under variable load. Methods. To achieve the set goal, methods of system analysis were used to formalize the system structure and the connections between its components; methods of mathematical modeling were used to construct a formal description of the multi-cloud environment, the resource state of nodes, control actions, and quorum constraints; statistical analysis methods for processing, aggregating, and normalizing telemetry data; decision-making theory methods for establishing conditions for acceptable resource reallocation; and simulation modeling methods for verifying the performance of the developed model under conditions of variable load, resource scarcity, and variable node availability. Results. For the first time, a formalized set-theoretic model has been developed for managing computing resources and ensuring quorum in a blockchain-oriented distributed information system within a multi-cloud environment. Unlike existing approaches, combines, within a single unified representation, the multi-cloud environment as a set of cloud platforms from different vendors, the multi-level system architecture, the aggregated resource state of nodes, the conditions for permissible resource reallocation, and the specified requirements for ensuring quorum. Sets of cloud environments, architectural levels, and system nodes are presented; vectors of available and allocated resources, an aggregated system state vector, a resource deviation function, a quorum assurance function, and a set of permissible control actions are introduced. Simulation studies confirmed the model’s operability under nominal operation, resource scarcity, and node availability degradation. This allowed for the formulation of the decision-making process regarding resource reallocation and system operability maintenance within a single mathematical framework. Conclusions. The developed model provides a formalized description of the processes of managing computational resources and ensuring quorum in a blockchain-oriented distributed information system in a multi-cloud environment and can be used as a basis for further development of methods for optimizing control decisions and experimental research into the system’s operational efficiency under dynamic conditions.Downloads
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References
Opoku, E., Okafor, M., Williams, M., Aribigbola, A. and Olaleye, A. (2024), "Enhancing Small and Medium-Sized Businesses Through Digitalization", World Journal of Advanced Research and Reviews, Vol. 23, No. 2, pp. 222–239. DOI: https://doi.org/10.30574/wjarr.2024.23.2.2313
Kuchuk, H., Kosenko, N., Kuchuk, N., Gopejenko, V. and Kosenko, V. (2026), "Adaptive Resource Allocation Method for the Mobile Fog Layer of High-Density Industrial Internet of Things in Industry 5.0 Networks", Innovative Technologies and Scientific Solutions for Industries, Vol. 1, No. 35, pp. 65–78. DOI: https://doi.org/10.30837/2522-9818.2026.1.065
Anthony Jnr, B. (2023), "Distributed Ledger and Decentralised Technology Adoption for Smart Digital Transition in Collaborative Enterprise", Enterprise Information Systems, Vol. 17, No. 4, Article 1989494. DOI: https://doi.org/10.1080/17517575.2021.1989494
Pronchakov, Y., Prokhorov, O. and Fedorovich, O. (2022), "Concept of High-Tech Enterprise Development Management in the Context of Digital Transformation", Computation, Vol. 10, No. 7, Article 118. DOI: https://doi.org/10.3390/computation10070118
Almufti, S.M. and Zeebaree, S.R.M. (2024), "Leveraging Distributed Systems for Fault-Tolerant Cloud Computing: A Review of Strategies and Frameworks", Academic Journal of Nawroz University, Vol. 13, No. 2, pp. 9–29. DOI: https://doi.org/10.25007/ajnu.v13n2a2012
Horiunova, M.S. and Tkachov, V.M. (2025), "Metod Balansuvannia Elastychnykh Potokiv Danykh u Vkladenykh Virtualnykh Merezhakh", In: Problems of Informatization: Proceedings of the 13th International Scientific and Technical Conference, Vol. 3, Section 4, NTU "KhPI", Kharkiv, pp. 25–26.
Mamidala, J.V., Attipalli, A., Enokkaren, S.J., Bitkuri, V., Kendyala, R. and Kurma, J. (2023), "A Survey on Hybrid and Multi-Cloud Environments: Integration Strategies, Challenges, and Future Directions", International Journal of Humanities and Information Technology, Vol. 5, No. 2, pp. 53–65. https://doi.org/10.21590/ijhit.05.02.08
Kuchuk, N., Kashkevich, S., Radchenko, V., Andrusenko, Y. and Kuchuk, H. (2024), "Applying Edge Computing in the Execution IoT Operative Transactions", Advanced Information Systems, Vol. 8, No. 4, pp. 49–59. DOI: https://doi.org/10.20998/2522-9052.2024.4.07
Kuchuk, H., Kalinin, Y., Dotsenko, N., Chumachenko, I. and Pakhomov, Y. (2024), "Decomposition of Integrated High-Density IoT Data Flow", Advanced Information Systems, Vol. 8, No. 3, pp. 77–84. DOI: https://doi.org/10.20998/2522-9052.2024.3.09
Khan, M.M.I. and Nencioni, G. (2023), "Resource Allocation in Networking and Computing Systems: A Security and Dependability Perspective", IEEE Access, Vol. 11, pp. 89433–89454. DOI: https://doi.org/10.1109/ACCESS.2023.3306534
Andrusenko, Y. and Fesenko, T. (2024), "Analysis of the Main Sources of Uncertainty in the Parameters of the Computing Environment", In: Current Directions of Development of Information and Communication Technologies and Control Tools: Proceedings of the 14th International Scientific and Technical Conference, Vol. 1, Sections 1–2, NTU "KhPI", Kharkiv, p. 65.
Gupta, S. (2025), "Hybrid Cloud Integration and Multicloud Deployments: A Comprehensive Review of Strategies, Challenges, and Best Practices", International Journal of Advanced Research in Computer Science, Vol. 16, No. 2, pp. 59–64. DOI: https://doi.org/10.26483/ijarcs.v16i2.7233
Okorie, S.H. (2023), "Multi-Cloud Strategy for Enterprise Applications: Cost, Performance, and Resilience Considerations", International Journal of Cloud Computing and Database Management, Vol. 4, No. 1, pp. 63–73. DOI: https://doi.org/10.33545/27075907.2023.v4.i1a.104
Frolov, D.Ye. (2025), "Model for Ensuring Fault Tolerance of Information Systems Based on Multi-Level Structures", Visnyk of Kherson National Technical University, Vol. 2, No. 3(94), pp. 474–483. DOI: https://doi.org/10.35546/kntu2078-4481.2025.3.2.61
Ruban, I. and Tkachov, V. (2025), "Multilevel Model of an Information System on a Mobile Platform and Formalization of Its Survivability Criteria", Visnyk of Kherson National Technical University, Vol. 2, No. 3(94), pp. 399–409. DOI: https://doi.org/10.35546/kntu2078-4481.2025.3.2.51
Tokariev, V., Tkachov, V., Ilina, I. and Partyka, S. (2019), "Implementation of Combined Method in Constructing a Trajectory for Structure Reconfiguration of a Computer System with Reconstructible Structure and Programmable Logic", In: Selected Papers of the XIX International Scientific and Practical Conference "Information Technologies and Security" (ITS 2019), CEUR Workshop Proceedings, Vol. 2577, pp. 71–81, available at: https://ceur-ws.org/Vol-2577/paper7.pdf
Bayzid, L.H., Kar, T.S., Islam, M.T., Islam, M.S. and Ahmed, F. (2025), "Defending the Distributed Skies: A Comprehensive Literature Review of the Arena of Multi-Cloud Environment", Future Internet, Vol. 17, No. 12, Article 548. DOI: https://doi.org/10.3390/fi17120548
Habib, G., Sharma, S., Ibrahim, S., Ahmad, I., Qureshi, S. and Ishfaq, M. (2022), "Blockchain Technology: Benefits, Challenges, Applications, and Integration of Blockchain Technology with Cloud Computing", Future Internet, Vol. 14, No. 11, Article 341. DOI: https://doi.org/10.3390/fi14110341
Duran, E., Ozturk, C. and O’Sullivan, B. (2025), "Planning and Scheduling Shared Manufacturing Systems: Key Characteristics, Current Developments and Future Trends", International Journal of Production Research, Vol. 63, No. 13, pp. 4958–4990. DOI: https://doi.org/10.1080/00207543.2024.2442549
AlMuraytib, S., Alqurashi, L. and Snoussi, S. (2022), "Blockchain-Based Solutions for Cloud Computing Security: A Survey", In: ICFNDS ‘22: Proceedings of the 6th International Conference on Future Networks & Distributed Systems, pp. 338–342. DOI: https://doi.org/10.1145/3584202.3584251
Danish, S.M., Srivastava, G., Nourmohammadi, R., Ashraf, N., Ranjha, A. and Hameed, A. (2024), "Blockchain-as-a-Service: Architecture, Opportunities and Challenges", IEEE Internet of Things Magazine, Vol. 7, No. 6, pp. 52–57. DOI: https://doi.org/10.1109/IOTM.001.2300199
Pustovoitov, P.Y. and Klavdiiev, V.P. (2025), "Stochastic Model of Telecommunication Network Scalping Based on the Winer Process for Cloud Infrastructures", Scientific Notes of Taurida National V.I. Vernadsky University. Series: Technical Sciences, Vol. 1, No. 4, pp. 76–84. DOI: https://doi.org/10.32782/2663-5941/2025.4.1/10
Kudrynskyi, P., Zvenihorodskyi, O. and Bai, Y. (2025), "Models and Methods of Analysing Infrastructure Performance in Cloud Environments Based on Process Optimisation Methods", Informatica, Vol. 49, No. 12. DOI: https://doi.org/10.31449/inf.v49i12.8933
Bugriy, A.M., Sorobey, B.V., Polozov, D.M. and Volk, D.M. (2025), "Metody Upravlinnia Resursamy v Rozpodilenykh Systemakh Khmarnykh Obchyslen", In: Problems of Informatization: Proceedings of the 13th International Scientific and Technical Conference, Vol. 4, Sections 5–6, NTU "KhPI", Kharkiv, pp. 12–13.
Chepurna, I. (2025), "Model of Computational Resource Metric Collection for a Blockchain-Oriented Information System in a Cloud Environment", Visnyk of Kherson National Technical University, Vol. 3, No. 4(95), pp. 276–284. DOI: https://doi.org/10.35546/kntu2078-4481.2025.4.3.32
Alonso, J., Orue-Echevarria, L., Casola, V., Torre, A.I., Huarte, M., Osaba, E. and Lobo, J.L. (2023), "Understanding the Challenges and Novel Architectural Models of Multi-Cloud Native Applications: A Systematic Literature Review", Journal of Cloud Computing, Vol. 12, Article 6. DOI: https://doi.org/10.1186/s13677-022-00367-6
Altahat, M.A., Daradkeh, T. and Agarwal, A. (2025), "Virtual Machine Scheduling and Migration Management Across Multi-Cloud Data Centers: Blockchain-Based Versus Centralized Frameworks", Journal of Cloud Computing, Vol. 14, Article 1. DOI: https://doi.org/10.1186/s13677-024-00724-7
Tran, M.-N. and Kim, Y. (2025), "Hybrid Resource Quota Scaling for Kubernetes-Based Edge Computing Systems", Electronics, Vol. 14, No. 16, Article 3308. https://doi.org/10.3390/electronics14163308
Morabito, G., Ficara, A., Celesti, A., Villari, M. and Fazio, M. (2025), "Consensus-Based Distributed Orchestration Framework for Microservices in Edge Computing Clusters", Future Generation Computer Systems, Vol. 176, Article 108221. DOI: https://doi.org/10.1016/j.future.2025.108221
Bao, Q., Li, B., Hu, T. and Sun, X. (2023), "A Survey of Blockchain Consensus Safety and Security: State-of-the-Art, Challenges, and Future Work", Journal of Systems and Software, Vol. 196, Article 111555. DOI: https://doi.org/10.1016/j.jss.2022.111555
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