Title: Towards a cloud model choice evaluation: comparison between cost/features and ontology-based analysis

Authors: Pasquale Cantiello; Beniamino Di Martino; Michele Mastroianni; Luigi Colucci Cante; Mariangela Graziano

Addresses: National Institute of Geophysics and Volcanology (INGV), Naples, Italy ' Department of Engineering, University of Campania "Luigi Vanvitelli", Italy; Computer Science and Information Engineering Dept., Asia University, Taiwan ' Department of Engineering, University of Campania "Luigi Vanvitelli", Aversa, Italy ' Department of Engineering, University of Campania "Luigi Vanvitelli", Aversa, Italy ' Department of Engineering, University of Campania "Luigi Vanvitelli", Aversa, Italy

Abstract: In academic institutions, there is frequently the need to provide new services, in a cloud model, to be used either in teaching or in research activities. One of the main decisions to be addressed is related to the cloud model to adopt (private, public or hybrid), and what mixing of functionalities to use for the hybrid one. In this paper two different methodologies (cost/features and semantic-based) are been experimented in order to identify the best suited cloud model to adopt for a specific problem. The long-term perspective is to build a methodology to serve as a tool to be used as decision support for the ICT manager in order to help him in this decision. The comparison between the two different methodologies shows the strengths and weaknesses of both approaches.

Keywords: cloud model; decision support system; SWRL; OWL; cloud evaluation; cloud cost analysis.

DOI: 10.1504/IJGUC.2023.129700

International Journal of Grid and Utility Computing, 2023 Vol.14 No.1, pp.15 - 28

Received: 20 Nov 2020
Accepted: 28 Jan 2021
Published online: 21 Mar 2023 *