Comparison of models for the selection of cloud computing resources

Hugo R. Hauech, David L. La Red Martinez


Due to technological advances, organizations have to face many challenges to provide support through the use of Information Technology (IT) to carry out tasks that require computer skills. This may require the use of programs, data storage, development tools or IT capabilities, therefore it is important to adopt adequate resources for the tasks to be perform and thus meet required needs. It follows that the selection of resources and suppliers is a topic of interest and that it is closely related to the selection models, where those of mathematical-based development present results with greater consistency and offer the possibility of establishing an order. This article presents the characteristics of Cloud Computing (CC) and the technologies that allow its implementation; the hierarchical analytical process as a solution for multi-criteria decision making, where peer comparison and weighting lay the foundations of its development; and a class of aggregation operators that allows the individual assessment of criteria and alternatives. In addition, the comparison of results that arise from the application for the selection of service providers, will allow to evaluate each model and obtain the appropriate one for situations where there is a wide range of possibilities.

Texto completo:



Badger, L.; Bernstein, D.; Bohn, R.; De Vaulx, F.; Hogan, M.: Iorga, M.; ... Sokol, A.. (2014). US Government Cloud Computing Technology Roadmap. Nist Special Publication, 1(2), 85.

Bermubez Irreño, C. A.; Quiñonez Aguilar, E. D. (2018). Aplicación Práctica Del Proceso De Análisis Jerárquico (AHP), para la Toma de decisiones. Revista de Ingeniería, Matemáticas y Ciencias de la Informática, 5(9), 91-100.

Berumen, S.; Redondo, F. (2007). La utilidad de lis métodos de decisión multicriterio (como el AHP) en un entorno de competitividad creciente. Cuadernos de Administración, 20(34), 65-87.

Calvo, T.; Mesiar, R. (2003). Aggregation operators: ordering and bounds. Fuzzy Sets and Systems, 139(3), 685-697.

Cubillo, S.; Pradera, A.; Trillas, E. (1998). On Joining Operators and their and / or behaviour. In International Conference IPMU'98 (pp. 673-679). Francia.

Dubois, D.; Prade, H. (1988). A Review of fuzzy Set Aggregation Connectives. Information Sciences, 36(1), 85-121.

Guerrero-Liquet, G. C.; Faxas-Guzmán, J. (2015). Análisis de toma de decisión con AHP / ANP de energías renovables en República Dominicana República Dominicana. Anuario de Jóvenes Investigadores, 8, 27-29.

Habbal, A.; Abdullah, S. A.; Mkpojiogu, E. O. C.; Hassan, S.; Benamar, N. (2017). Assessing Experimental Private Cloud Using Web of System Performance Model. International Journal of Grid and High Performance Computing, 9(2), 21-35.

Joyanes Aguilar, L. (2012). Computación en la Nube. Notas para una estrategia española en cloud computing. Revista del Instituto Español Estudios Estratégicos.

Kale, M.; Mente, R. (2017). Impact of Cloud Computing on Education System. International Journal of Electronics, Electrical and Computational System IJEECS, 6(11), 139-144.

La Red Martínez, D. L.; Acosta, J. (2014). Revisión de Operadores de Agregación. Campus Virtuales, 3(2), 24-44.

La Red Martínez, D. L.; Doña, J. M.; Peláez, J. I.; Fernandez, E. B. (2011). WKC-OWA, a New Neat-OWA Operator to Aggregate Information in Democratic Decision Problems. International Journal of Uncertainty, Fuzziness and Knowledge-Baseb Systems (IJUFKS), 19(5), 759-779.

Medina, P.; Cruz, E.; Gomez, R. (2012). Selección de proveedor de WMS utilizando método AHP. Scientia et Technica, 17(52), 65-72.

Mell, P.; Grance, T. (2011). The NIST Definition of Cloud Computing Recommendations of the National Institute of Standards and Technology. Nist Special Publication, 145(7).

Mohammed, B.; Kiran, M. (2015). Analysis of Cloud Test Beds Using OpenSource Solutions. In International Conference on Future Internet of Things and Cloud (pp. 195-203). Italy, Rome.

Peláez, J. I.; Doña, J. M. (2003). Majority Additive - Ordered Weighting Averaging: A New Neat Ordered Weighting Averaging Operator Based on the Majority Process. International Journal of Intelligent Systems, 18, 469-481.

Saaty, T. (1980). The Analytical Hierarchical Process. New York: J. Wiley.

Sampedro-Durá, A.; Puchol-García, I.; Aragonés-Beltrán P. (2011). Aplicación del proceso analítico en red ANP para la selección de un project manager. In XV Congreso Internacional de Ingeniería de Proyectos (pp. 6-8). España, Huesca.

Enlaces refback

  • No hay ningún enlace refback.

International Journal of Information Systems and Software Engineering for Big Companies (IJISEBC)

ISSN: 2387-0184