Cloud computing deployment model selection using the AHP multi-criteria analysis method

Authors

  • Bruno de Azevedo Ramos Instituto Federal de Educação, Ciência e Tecnologia Fluminense (IFFluminense), Campos dos Goytacazes/RJ https://orcid.org/0000-0001-8825-1119
  • José Elias da Silva Justo Instituto Federal de Educação, Ciência e Tecnologia Fluminense, Campos dos Goytacazes/RJ https://orcid.org/0000-0003-0193-107X

DOI:

https://doi.org/10.19180/1809-2667.v25n32023.19044

Keywords:

cloud computing, deployment models, decision making, multicriteria analysis, analytic hierarchy process

Abstract

Cloud computing is a prominent theme in computing that aims to provide on-demand computing resources over the Internet. Many organizations have already adopted cloud technologies, while others are still analyzing the feasibility of this migration. The objective of this paper is to indicate which cloud computing deployment model is the most appropriate to be adopted in an Information and Communication Technology Board of a public educational institution. To this end, the AHP (Analytic Hierarchy Process) multicriteria analysis method is used to assist in the decision making process. First, based on related works in the literature, the hierarchical structure of criteria and sub-criteria is elaborated, after which questionnaires are applied with the work team to prioritize the factors in levels of importance and then select the alternative. As a result, the security criterion is indicated as the most relevant, followed by availability, scalability and, lastly, cost. The alternative considered as suitable for the board of directors is the hybrid cloud. It is concluded that the AHP method proved efficient to evaluate the complexity of the various criteria involved.

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Author Biographies

  • Bruno de Azevedo Ramos, Instituto Federal de Educação, Ciência e Tecnologia Fluminense (IFFluminense), Campos dos Goytacazes/RJ
    Mestrando no programa de pós-graduação stricto sensu Mestrado Profissional em Sistemas Aplicados à Engenharia e Gestão (SAEG) do Instituto Federal de Educação, Ciência e Tecnologia Fluminense (IFFluminense). Assistente em Administração no Instituto Federal de Educação, Ciência e Tecnologia Fluminense (IFFluminense) - Campos dos Goytacazes/RJ – Brasil. E-mail: bruno.ramos@gsuite.iff.edu.br.
  • José Elias da Silva Justo, Instituto Federal de Educação, Ciência e Tecnologia Fluminense, Campos dos Goytacazes/RJ
    Mestre em Pesquisa Operacional e Inteligência Computacional pela Universidade Cândido Mendes/RJ (2011). Analista de Tecnologia da Informação e Professor de Ensino Básico, Técnico e Tecnológico do Instituto Federal de Educação, Ciência e Tecnologia Fluminense (IFFluminense) - Campos dos Goytacazes/RJ – Brasil. E-mail: jose.elias@gsuite.iff.edu.br.

References

AHUJA, M. et al. MCDA Framework for Edge-Aware Multi-Cloud Hybrid Architecture Recommendation. In: ASE, 22., IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING, 37., 10 Oct. 2022, Rochester, MI, USA. Proceedings […]. New York, NY: ACM, 2022. DOI: https://doi.org/10.1145/3551349.3559501. Disponível em: https://dl.acm.org/doi/10.1145/3551349.3559501. Acesso em: 13 out. 2023.

AKHROUF, M.; DERGHOUM, M. Use of a multi-criteria decision support model based on the AHP method for the selection of health infrastructure projects. International Journal of the Analytic Hierarchy Process, v. 15, n. 1, 9 mar. 2023. DOI: https://doi.org/10.13033/ijahp.v15i1.1040. Disponível em: https://www.ijahp.org/index.php/IJAHP/article/download/1040/842. Acesso em: 13 out. 2023.

ARAÚJO, C. J. M. Tomada de decisão multicritério em infraestruturas como serviço em nuvem: uma abordagem baseada em modelos de dependabilidade, performabilidade e custo. 2019. Tese (Doutorado em Ciência da Computação) – Universidade Federal de Pernambuco, Recife, PE, 5 abr. 2019. Disponível em: https://repositorio.ufpe.br/handle/123456789/33690. Acesso em: 13 out. 2023.

BASU, A.; GHOSH, S. Implementing Fuzzy TOPSIS in Cloud Type and Service Provider Selection. Advances in Fuzzy Systems, v. 2018, p. 1-12, 15 nov. 2018. DOI: https://doi.org/10.1155/2018/2503895. Disponível em: https://www.hindawi.com/journals/afs/2018/2503895/. Acesso em: 13 out. 2023.

FERREIRA, M. M.; MARTINS, J. M.; SALGADO, E. G. Aplicação do método Analytic Hierarchy Process para a adoção de computação em nuvem em empresas juniores. Revista Eletrônica de Sistemas de Informação e Gestão Tecnológica, v. 5, n. 1, p. 51-70, 2015. Disponível em: http://periodicos.unifacef.com.br/resiget/article/view/975. Acesso em: 13 out. 2023.

GARG, R. MCDM-Based Parametric Selection of Cloud Deployment Models for an Academic Organization. IEEE Transactions on Cloud Computing, v. 10, n. 2, p. 863-871, abr. 2022. DOI: https://doi.org/ 10.1109/TCC.2020.2980534. Disponível em: https://ieeexplore.ieee.org/document/9035390. Acesso em: 13 out. 2023.

GIL, A. C. Métodos e Técnicas de Pesquisa Social. 6. ed. São Paulo: Atlas, 2008.

GOEPEL, K. D. Implementation of an Online Software Tool for the Analytic Hierarchy Process (AHP-OS). International Journal of the Analytic Hierarchy Process, v. 10, n. 3, 6 dez. 2018. DOI: https://doi.org/10.13033/ijahp.v10i3.590. Disponível em: https://ijahp.org/index.php/IJAHP/article/view/590. Acesso em: 13 out. 2023.

INDRIANI, W. et al. Selection of cloud deployment model for Ministry of Foreign Affairs using Benefit, Cost, Opportunity, and Risk (BCOR) Analysis and Analytic Hierarchy Process (AHP). In: INTERNATIONAL CONFERENCE ON INFORMATICS AND COMPUTING (ICIC), Oct. 2016, Mataram, Indonesia. Proceedings […]. Mataram: IEEE, 2016. pp. 447-452. DOI: https://doi.org/10.1109/iac.2016.7905761. Disponível em: https://ieeexplore.ieee.org/document/7905761. Acesso em: 13 out. 2023.

LEE, Y.-C.; TANG, H.; SUGUMARAN, V. A Deployment Model for Cloud Computing using the Analytic Hierarchy Process and BCOR Analysis. In: AMERICAS CONFERENCE ON INFORMATION SYSTEMS, ACIS, 18., 9-12 August 2012, Seattle, Washington, USA. Proceedings […]. Disponível em: https://aisel.aisnet.org/amcis2012/proceedings/EnterpriseSystems/18. Acesso em: 17 jun. 2022.

MELL, P.; GRANCE, T. The NIST Definition of Cloud Computing. Special Publication (NIST SP), 2011. DOI: https://doi.org/10.6028/NIST.SP.800-145. Disponível em: https://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-145.pdf. Acesso em: 13 out. 2023.

MICROSOFT AZURE. Guia de introdução para operadores de TI do Azure. Disponível em: https://learn.microsoft.com/pt-br/azure/guides/operations/azure-operations-guide. Acesso em: 10 out. 2022.

OLIVEIRA, A. A. D. Aplicação do método de análise hierárquica na tomada de decisão para adoção de computação em nuvem: Um estudo de caso na federação das indústrias do RN. 2011. Dissertação (Mestrado em Engenharia de Produção) - Universidade Federal do Rio Grande do Norte, Natal, RN, 2011. Disponível em: https://repositorio.ufrn.br/jspui/handle/123456789/15011. Acesso em: 13 out. 2023.

OLIVEIRA, M. S. et al. Integrated data envelopment analysis, multi-criteria decision making, and cluster analysis methods: Trends and perspectives. Decision Analytics Journal, v. 8, p. 100271, set. 2023. DOI: https://doi.org/10.1016/j.dajour.2023.100271. Disponível em: https://www.sciencedirect.com/science/article/pii/S277266222300111X?via%3Dihub. Acesso em: 13 out. 2023.

PETKOVIC, I. CRM in the cloud. In: IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT SYSTEMS AND INFORMATICS, SISY 2010, 8., Sep. 2010, Subotica, Servia. Proceedings […]. Subotica: IEEE, 2010. DOI: https://doi.org/10.1109/SISY.2010.5647402. Disponível em: http://ieeexplore.ieee.org/document/5647402/. Acesso em: 18 jun. 2022.

RAMACHANDRAN, N. et al. Selecting a suitable Cloud Computing technology deployment model for an academic institute: A case study. Campus-Wide Information Systems, v. 31, n. 5, p. 319-345, 1 Jan. 2014. DOI: https://doi.org/10.1108/CWIS-09-2014-0018. Disponível em: https://www.emerald.com/insight/content/doi/10.1108/CWIS-09-2014-0018/full/html. Acesso em: 13 out. 2023.

SAATY, T. L. Multicriteria decision making: the analytic hierarchy process: planning, priority setting, resource allocation. 2th. ed. with new material added ed. New York: McGraw-Hill, 1988.

SAHA, M. et al. An efficient composite cloud service model using multi-criteria decision-making techniques. The Journal of Supercomputing, v. 79, n. 8, p. 8754-8788, 1 maio 2023. DOI: https://doi.org/10.1007/s11227-022-05013-1. Disponível em: https://link.springer.com/article/10.1007/s11227-022-05013-1. Acesso em: 13 out. 2023.

SILVA, E.; MENEZES, E. Metodologia da Pesquisa e Elaboração de Dissertação. 4. ed. Florianópolis: UFSC, 2005.

THAKKAR, H. K. et al. (ed.). Predictive Analytics in Cloud, Fog, and Edge Computing: Perspectives and Practices of Blockchain, IoT, and 5G. Cham: Springer International Publishing, 2023.

THAKUR, N.; SINGH, A.; SANGAL, A. L. Cloud services selection: A systematic review and future research directions. Computer Science Review, v. 46, p. 100514, nov. 2022. DOI: https://doi.org/10.1016/j.cosrev.2022.100514. Disponível em: https://www.sciencedirect.com/science/article/pii/S157401372200048X?via%3Dihub. Acesso em: 13 out. 2023.

VARGAS, R. V. Using the analytic hierarchy process (AHP) to select and prioritize projects in a portfolio. PMI Global Congress, v. 32, n. 3, p. 1-22, 2010.

ZAYAT, W. et al. Application of MADM methods in Industry 4.0: A literature review. Computers & Industrial Engineering, v. 177, p. 109075, mar. 2023. DOI: https://doi.org/10.1016/j.cie.2023.109075. Disponível em: https://www.sciencedirect.com/science/article/pii/S0360835223000992. Acesso em: 13 out. 2023.

ZHENG, Q. et al. Impact of a firm’s physical and knowledge capital intensities on its selection of a cloud computing deployment model. Information & Management, v. 57, n. 7, p. 103259, nov. 2020. DOI: https://doi.org/10.1016/j.im.2019.103259. Disponível em: https://www.sciencedirect.com/science/article/pii/S0378720617307231?via%3Dihub. Acesso em: 13 out. 2023.

Published

09-11-2023

Issue

Section

Original articles

How to Cite

RAMOS, Bruno de Azevedo; JUSTO, José Elias da Silva. Cloud computing deployment model selection using the AHP multi-criteria analysis method. Revista Vértices, [S. l.], v. 25, n. 3, p. e25319044, 2023. DOI: 10.19180/1809-2667.v25n32023.19044. Disponível em: https://editoraessentia.iff.edu.br/index.php/vertices/article/view/19044.. Acesso em: 22 jul. 2024.

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