Paper
6 November 2019 Optimization of web-application performance
Dmytro O. Kovaliuk, Oleh O. Kovaliuk, Olga Yu. Pinaieva, Andrzej Kotyra, Aliya Kalizhanova
Author Affiliations +
Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 1117626 (2019) https://doi.org/10.1117/12.2537163
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland
Abstract
At present, web-application is the most popular type of distributed systems. However, the problem of web-system optimization is still important. This paper considers the basic principles of high-loaded web-systems running and analyzes the main ways of its optimization. The methods of optimization on different levels are defined: client, server, and network. Experimental research has been conducted to explore the effectiveness of the proposed approaches. The experiments confirmed the improvement of the system characteristics. As the implementation of the optimization technique needs some resources, a research has been conducted to analyze the complexity of implementing approaches. Also the neural network has been developed that allowed to predict the results of web systems optimization.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dmytro O. Kovaliuk, Oleh O. Kovaliuk, Olga Yu. Pinaieva, Andrzej Kotyra, and Aliya Kalizhanova "Optimization of web-application performance", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 1117626 (6 November 2019); https://doi.org/10.1117/12.2537163
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Neural networks

Analytical research

Neurons

Optimization (mathematics)

Visualization

Analytics

Computing systems

Back to Top