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DOI: 10.14569/IJACSA.2022.0130284
PDF

Towards Linguistic-based Evaluation System of Cloud Software as a Service (SaaS) Provider

Author 1: Mohammed Abdulaziz Ikram
Author 2: Ryan Alturki
Author 3: Farookh K. Hussain

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 2, 2022.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Cloud Software as a Service (SaaS) is a type of delivering software application by using Cloud computing Infrastructure services. Cloud SaaS used the global Internet connection to offer its services to the client consumers. The selection of Cloud SaaS provider is based on the evaluation mechanism that the Cloud SaaS consumer manage before making the service contract. In this paper, the linguistic-based evaluation of Cloud SaaS quality attributes has been proposed to help the consumer to assess the service for optimal service selection. Our proposed approach has been developed by the combinations of fuzzy logic and TOPSIS MCDM methods. The proposed approach helps the Cloud SaaS consumer to select the optimal service Cloud SaaS service provider. The case study has been proposed in order to demonstrate the proposed approach.

Keywords: Cloud services; software as a service (SaaS); eval-uation system; quality of experience (QoE); fuzzy logic; TOPSIS

Mohammed Abdulaziz Ikram, Ryan Alturki and Farookh K. Hussain. “Towards Linguistic-based Evaluation System of Cloud Software as a Service (SaaS) Provider”. International Journal of Advanced Computer Science and Applications (IJACSA) 13.2 (2022). http://dx.doi.org/10.14569/IJACSA.2022.0130284

@article{Ikram2022,
title = {Towards Linguistic-based Evaluation System of Cloud Software as a Service (SaaS) Provider},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130284},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130284},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {2},
author = {Mohammed Abdulaziz Ikram and Ryan Alturki and Farookh K. Hussain}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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