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

Al-Said Ahmad, A; Alzboon, G

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