DETERMINE WEB SERVER EFFICIENCY IN SERVICING REQUESTS UDC 004.032.2
Abstract
The ubiquity of websites across all sectors has led to a surge in demand for their services. Consequently, there's been a notable expansion in scientific inquiry to enhance service efficiency to meet the escalating needs. Central to this endeavor are web servers, which play a pivotal role in processing these requests. This article examines the responsiveness of remote platforms hosted on various web servers. It conducts analyses on factors such as latency between client-server interactions, as well as the rates of request acceptance and rejection. Furthermore, tests are conducted on both default and optimized configurations of Apache and Nginx web servers within a local network environment. In these evaluations, the optimized configurations of Apache and Nginx are tailored to the specific technical capabilities of the server system. The results indicate that Nginx outperforms Apache in terms of efficiency, highlighting its superiority in handling the increasing demands placed on web servers.
About the Authors
List of references
Abdullaev, E., Zakirov, V., & Shukurov, F. (2023). Assessment of the distance learning server's operation strategies and service capacity in advance. E3S Veb of Conferences, 06016.
Atto, K., & Kotova, E. E. (2020). Communicative strategies simulation in intelligent learning environment. In 2020 IEEE Communication Strategies in Digital Society Seminar , 37-39.
Chen, C. P., Lin, G. J., Lin, Y. H., Song, H. P., & Bai, Y. W. (2015). Performance measurement and queueing model of Veb servers with a variation of Vebpage sizes. In 2015 International Symposium on Next-Generation Electronics, 1-4.
Chyrvon, A., Lisovskyi, K., & Kyryndas, N. (2023). The main methods of load balancing on the Nginx Veb server. . Collection of Scientific Papers «ΛΌГOΣ», 146-151.
Digital Ocean. (2021). From https://www.pingdom.com/blog/optimizing-load-times-on-apache-veb-server-on-digital-ocean-with-solarwinds-pingdom-2/.
Fan, Q., & Wang, Q. (2015). Performance comparison of Veb servers with different architectures: A case study using high concurrency workload. In 2015 Third IEEE Workshop on Hot Topics in Veb Systems and Technologies, 37-42.
Jader, O. H., Zeebaree, S. R., & Zebari, R. R. (2019). A state of art survey for Veb server performance measurement and load balancing mechanisms. International Journal of Scientific & Technology Research, 535-543.
Kavon., A. (2020). How To Optimize Nginx Configuration. From Digital Ocean: https://www.digitalocean.com/community/tutorials/how-to-optimize-nginx-configuration.
Liu, X., Sha, L., Diao, Y., Froehlich, S., Hellerstein, J. L., & Parekh, S. (2003). Online response time optimization of Apache Veb server. In Quality of Service — IWQoS 2003, 321-326.
Ma, C., & Chi, Y. (2022). Evaluation test and improvement of load balancing algorithms of Nginx. IEEE Access, 14311-14324.
Putro, Z. P., & Supono, R. A. (2022). Comparison analysis of Apache and Nginx Vebserver load balancing on Proxmox VE in supporting server performance. International Research Journal of Advanced Engineering and Science, 144-151.
Jader, O. H., Zeebaree, S. R., & Zebari, R. R. (2019). A state of art survey for Veb server performance measurement and load balancing mechanisms. International Journal of Scientific & Technology Research, 535-543.
Radhakrishnan, S. (2019). High performance Veb servers: A study in concurrent programming models. From hdl.handle.net: http://hdl.handle.net/10012/14706
La Lau, R. (2021). Veb server Part 1: Apache/Nginx basics. In Practical Internet Server Configuration, 146-151. From https://doi.org/10.1007/978-1-4842-6960-2_9
Yao, Y., & Xia, J. (2016). Analysis and research on the performance optimization of Veb application system in high concurrency environment. In 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, 321-326.
Kunda, D., Chihana, S., & Sinyinda, M. (2017). Veb server performance of Apache and Nginx. A systematic literature review. Computer Engineering and Intelligent Systems, 43-52.
How to Cite
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.