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A Performance Evaluation Approach for n-tier Cloud-Based Software Services

Al-Said Ahmad, A; Alzboon, G

Authors

G Alzboon



Abstract

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.

Citation

Al-Said Ahmad, A., & Alzboon, G. (2022). A Performance Evaluation Approach for n-tier Cloud-Based Software Services. . https://doi.org/10.1145/3555962.3555968

Conference Name ICCBDC 2022: 2022 6th International Conference on Cloud and Big Data Computing
Conference Location Birmingham United Kingdom
Start Date Aug 18, 2022
End Date Aug 20, 2022
Acceptance Date Aug 18, 2022
Online Publication Date Oct 18, 2022
Publication Date Aug 18, 2022
Publisher Association for Computing Machinery (ACM)
Pages 31–36
DOI https://doi.org/10.1145/3555962.3555968
Keywords Cloud computing, evaluation method, n-tier, performance, Software services
Publisher URL https://dl.acm.org/doi/10.1145/3555962.3555968