Methodology for evaluation and selection of software and hardware for creation of a cloud environment with a single information space based on fuzzy cluster analysis

Abstract

The study aimed to develop a theoretical methodology for evaluating and selecting software and hardware for creating a cloud environment with a single information space, based on the use of fuzzy cluster analysis. The research issue was the difficulty of choosing the optimal solution in the face of uncertainty, which was typical for the process of cloud infrastructure creation. The methodology included an analysis of existing approaches, the formation of a system of evaluation criteria, theoretical justification and construction of a mathematical model for fuzzy evaluation of alternatives and involved the use of fuzzy cluster analysis to group alternative solutions based on multi-criteria assessments, including parameters such as performance, cost, scalability, reliability and security. Testing was conducted on real data from five leading cloud platform providers. The results demonstrated that the use of fuzzy cluster analysis increased the accuracy of cloud infrastructure options assessment by 23% compared to traditional methods. The application of the methodology on real-life examples demonstrated its effectiveness in the decision-making process when creating cloud environments, which was confirmed by the achieved increase in productivity and reduction in the cost of implementing and maintaining the system. The fuzzy cluster analysis identified three optimal hardware and software configurations that used computing resources 18% more efficiently. The developed algorithm demonstrated the processing capabilities of uncertainty in input data, reducing the impact of the subjectivity of expert opinions by 31%. The conclusions of this study emphasised that the fuzzy cluster analysis method is a substantial technology for evaluating and selecting software and hardware in modern IT projects, ensuring adaptability and accuracy in decision-making and increasing the validity of decision-making in planning corporate cloud environments, reduce the risks of choosing suboptimal configurations, and ensure more efficient use of resources in a single information space.

Author Biographies

Yulii Kondratenko, National Defence University of Ukraine

Yulii KONDRATENKO is a PhD, Leading Researcher at the Center for Military and Strategic Studies, National Defense University of Ukraine. He is primarily interested in exploring advanced methodologies for optimizing cloud computing environments, with a focus on performance, cost, scalability, and security, decision-making processes by integrating fuzzy cluster analysis.

Yurii Kirpichnikov, National Defence University of Ukraine

Yurii KIRPICHNIKOV is a PhD, Head of the the Center for Military and Strategic Studies, National Defense University of Ukraine. His research interest lies in the development of resource allocation strategies within cloud computing systems, as well as improving load balancing techniques to optimize computing resources, particularly in business-critical applications.

Andrii Romaniuk, National Defence University of Ukraine

Andrii ROMANIUK is a PhD, Senior Researcher at the Center for Military and Strategic Studies, National Defense University of Ukraine. He is focused on reducing the subjectivity in expert assessments, especially in complex technical systems and aims to use mathematically based analysis methods to minimize human bias in decision-making.

Ivan Kryvoruchko, National Defence University of Ukraine

Ivan KRYVORUCHKO is a PhD, Senior Researcher at the Center for Military and Strategic Studies, National Defense University of Ukraine. He is interested in integrating machine learning and forecasting techniques into cloud infrastructure optimization, as well as exploring how neural networks and deep learning algorithms can be applied to predict future computing needs.

Oleh Onofriichuk, National Defence University of Ukraine

Oleh ONOFRIICHUK is a PhD, Leading Researcher at the Center for Military and Strategic Studies, National Defense University of Ukraine. His research interests revolve around sustainable cloud computing. He focuses on exploring the environmental impact of cloud infrastructure and how energy consumption and carbon footprints can be optimized.

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Authors

  • Yulii Kondratenko National Defence University of Ukraine
  • Yurii Kirpichnikov National Defence University of Ukraine
  • Andrii Romaniuk National Defence University of Ukraine
  • Ivan Kryvoruchko National Defence University of Ukraine
  • Oleh Onofriichuk National Defence University of Ukraine

DOI:

https://doi.org/10.31449/inf.v49i37.8682

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Published

12/24/2025

How to Cite

Kondratenko, Y., Kirpichnikov, Y., Romaniuk, A., Kryvoruchko, I., & Onofriichuk, O. (2025). Methodology for evaluation and selection of software and hardware for creation of a cloud environment with a single information space based on fuzzy cluster analysis. Informatica, 49(37). https://doi.org/10.31449/inf.v49i37.8682

Issue

Vol. 49 No. 37 (2025): Online-only issue

Section

Online-only

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