Hassan, Govan, Faraj, Kamaran, Sidqi, Haval. (1402). Automated recommendation backend web database tier architecture benchmarking. هنرهای کاربردی, 15(1), 137-150. doi: 10.22075/ijnaa.2023.28139.4207
Govan Anwar Hassan; Kamaran Hama Ali Faraj; Haval Sidqi. "Automated recommendation backend web database tier architecture benchmarking". هنرهای کاربردی, 15, 1, 1402, 137-150. doi: 10.22075/ijnaa.2023.28139.4207
Hassan, Govan, Faraj, Kamaran, Sidqi, Haval. (1402). 'Automated recommendation backend web database tier architecture benchmarking', هنرهای کاربردی, 15(1), pp. 137-150. doi: 10.22075/ijnaa.2023.28139.4207
Hassan, Govan, Faraj, Kamaran, Sidqi, Haval. Automated recommendation backend web database tier architecture benchmarking. هنرهای کاربردی, 1402; 15(1): 137-150. doi: 10.22075/ijnaa.2023.28139.4207

Automated recommendation backend web database tier architecture benchmarking

International Journal of Nonlinear Analysis and Applications
مقاله 12، دوره 15، شماره 1، فروردین 2024، صفحه 137-150    اصل مقاله (1.77 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.28139.4207
نویسندگان
Govan Anwar Hassan1؛ Kamaran Hama Ali Faraj* 2، 3؛ Haval Sidqi4
1Department of Applied Computer, College of Informatics, Polytechnic University, Sulaymaniyah, Iraq
2Department of Computer, College of Science, Sulamani university, Sulamani, KRI
3Department of Computer Engineering, College of Engineering and Computer Science, Lebanese French University, Erbil, Iraq
4Technical College of informatics, Sulaimani Polytechnic University, Iraq
چکیده
The database management system (DBMS) for any application is crucial for developers because each application needs high performance to run efficiently. Therefore, database Benchmarking is the process of performing several Defined tests on those databases to evaluate their performance. The electronic benchmarking System (EBS) facilitates and improves human resource management (HRM) in all aspects of real life. EBS designed by four different database backends and three different web technology. This paper presents a comparative evaluation of the performance of the top DBMS systems namely (MySQL, SQL Server, Oracle, and MS Access). The middleware is designed using three dynamic web technologies (PHP, ASP, and PYTHON). In order to evaluate the backend performance for the four mentioned databases system by using two Parameters Response Time (RT) and Throughput (TT) over different Tire Architectures namely: One-Tier Architecture (1TA), Two-Tier Architecture (2TA). This paper will show which of the database has a better Response time (RT) and Throughput (TT).
کلیدواژه‌ها
SQL Server؛ Oracle؛ MYSQL؛ MS-Access؛ TT؛ RT
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