Classification of cloud computing: analysis of existing approaches

Terpylo Dmytro
PhD Student of the Department of Business Economics and Entrepreneurship, Kyiv National Economic University named after V. Hetman, Kyiv, Ukraine, E-mail:dmytro.terpylo@kneu.ua, ORCID: https://orcid.org/0009-0002-7355-7013

Cite this article:

Terpylo D. (2025) Classification of cloud computing: analysis of existing approaches. Ed.: V.V. Kovalenko (ed.-in-ch.) and others [Klasyfikacija hmarnyh obchyslen: analiz najavnyh pidhodiv; za red.: V.V. Kovalenko (gol. red.)], Scientific Bulletin of the Odesa National Economic University (ISSN 2313-4569), Odesa National Economics University, Odesa, No. 2 (327), pp.13-18.

Abstract

The purpose of this article is to systematize and comparatively analyze existing approaches to the classification of cloud computing to identify the main criteria and features of each of them. This allows to determine the optimal strategies for implementation of cloud technologies according to the specific needs of organizations. The research methodology is based on a comprehensive analysis of scientific literature, including publications by Ukrainian and international researchers, as well as electronic resources. The study employs methods of systematization, comparison, and generalization to analyze various approaches to cloud computing classification. The analysis focuses on identifying the strengths and weaknesses of existing classifications and highlighting the interrelationships between different classification features. Results. The article provides a detailed analysis of the main cloud computing classification approaches. The classification by deployment model (public, private, hybrid, community cloud) and service model (IaaS, PaaS, SaaS) are considered as the most common. Also analyzes additional criteria: by type of owner, by purpose, by scale, by availability, by type of use and by level of integration. The characteristics of each cloud type, their advantages and disadvantages are described. The fragmentation of existing classifications and the lack of attention to the interrelationships between different features are identified. The main classification features of cloud computing are systematized in a figure. Practical Value. The results of the study contribute to a better understanding of the diversity of cloud services and an informed choice of optimal solutions for specific tasks. The systematized approach allows users and organizations to effectively navigate the variety of cloud services and choose the most appropriate solutions for specific tasks. This will contribute to a more efficient use of the potential of cloud technologies and their further development. The proposed classification can be used by businesses, researchers, and IT professionals to analyze and compare cloud solutions.

Keywords

cloud computing, cloud technologies, classification, deployment model, service model, efficiency, IT technologies, cloud, security, scalability.

JEL classification:L860; O330;DOI: https://doi.org/10.32680/2409-9260-2025-2-327-13-18

UD classification:004.73:004.6

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