Alzboon, G and Al-Said Ahmad, A (2022) A Performance Evaluation Approach for n-tier Cloud-Based Software Services. Proceedings of the 2022 6th International Conference on Cloud and Big Data Computing.

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Cloud computing and cloud testing are vast fields that have attracted significant attention recently. In addition, the need to find an approach for measuring cloud-based applications' effectiveness has also increased. In this work, we introduced an approach to testing the performance of the cloud software services on the Amazon cloud. We used two cloud-based applications hosted in the Amazon cloud to demonstrate the approach depending on five technical performance metrics. We applied the testing methodology using a JMeter test script. The two selected applications represent two different taxonomies: 2-tier and 3-tier architectures. Following the testing process, we found that the WordPress application (i.e., 3-tier architecture) performs better than Ghost and is more stable in terms of the selected performance metrics. Practitioners would benefit from this study by a better understanding of the assessment and testing of n-tier Cloud-Based Software Services using technical arguments.

Item Type: Article
Additional Information: The final version of this publication and all relevant information related to it, including copyrights, can be found on the publisher website.
Uncontrolled Keywords: Cloud computing, evaluation method, n-tier, performance, Software services
Subjects: Q Science > Q Science (General)
T Technology > T Technology (General)
Divisions: Faculty of Natural Sciences > School of Computing and Mathematics
Related URLs:
Depositing User: Symplectic
Date Deposited: 30 Nov 2022 11:46
Last Modified: 30 Nov 2022 11:46

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