Web application performance analysis based on comprehensive load testing

2006 ◽  
Author(s):  
Yanyan Lu ◽  
Haiyan Wu ◽  
Yingxue Wang
Keyword(s):  
Performance Analysis ◽  
Web Application ◽  
Load Testing ◽  
Application Performance

Study and Improvement of a Web Application Load Testing Model

2013 ◽  
Vol 321-324 ◽  
pp. 2969-2973
Author(s):  
Hua Ji Zhu ◽  
Hua Rui Wu
Keyword(s):  
Web Application ◽  
Web Applications ◽  
User Behavior ◽  
Load Capacity ◽  
Performance Testing ◽  
Load Testing ◽  
Application Performance ◽  
Testing Model ◽  
User Groups ◽  
The Web

As an important indicator of Web application performance testing - load capacity is a key factor to judge the merits of the Web application performance, load testing model is an important premise to accurately obtain the Web applications load capacity; This article is based on the model of user groups, Through further analysis of the general user behavior , user groups model is been improved properly. The practical application shows that the improved model more realistically simulate real user behavior, and make the data more statistical significance, which can more accurately predict the performance of web applications. Keywords: Web applications, load capacity, performance testing, load testing, model

scholarly journals Performance measurement and analytic modeling of a web application

2021 ◽  
Author(s):  
Yasir Shoaib
Keyword(s):  
Web Application ◽  
Web Applications ◽  
Research Work ◽  
Queueing Network ◽  
Performance Model ◽  
Load Testing ◽  
Performance Models ◽  
Analytic Modeling ◽  
Service Demand ◽  
Time Required

The performance characteristics such as throughput, resource utilization and response time of a system can be determined through measurement, simulation modeling and analytic modeling. In this thesis, measurement and analytic modeling approaches are applied to study the performance of a Apache-PHP-PostgreSQL web application. Layered Queueing Network (LQN) analytic modeling has been used to represent the system's performance model. The measurements found from load testing are compared with model analysis results for model validation. This thesis aims to show that LQN performance models are versatile enough to allow development of highly granular and easily modifiable models of PHP-based web applications and furthermore are capable of performance prediction with sufficiently high accuracy. Lastly, the thesis also describes utilities and methods used for load testing and determination of service demand parameters in our research work which would aid in shortening time required in development and study of performance models of similar systems.

Assessing the Benefits of AJAX in Mobile Learning Systems Design

2009 ◽  
pp. 324-355 ◽  
Author(s):  
Feng Xie
Keyword(s):  
Mobile Learning ◽  
Web Application ◽  
Systems Design ◽  
Mobile Internet ◽  
Mobile Technologies ◽  
Application Development ◽  
Application Performance ◽  
Web Based ◽  
Performance Improvements ◽  
Asynchronous Javascript And Xml

Mobile technologies are rapidly changing our lives with increasing numbers of services supported by mobile devices, including Web-based learning applications, providing opportunities for people to study anytime and anywhere. However, using Web-based mobile applications to present learning resources is a challenge for developers because the performance of the mobile Internet over GPRS networks is often unacceptably slow. A new Web development model, Ajax, may help to address this problem. Ajax (asynchronous JavaScript and XML), is an approach to Web application development that uses client-side scripting to reduce traffic between client and server and provide a seamless user application experience. In this chapter, we address the question of whether mobile Ajax provides measurable performance advantages over non-Ajax mobile learning applications. An empirical study was undertaken to measure mobile learning application performance over a GPRS network, comparing an Ajax application and an active server pages (ASP) application with identical functionality. Our results suggest that mobile Ajax can reduce the bandwidth requirement by around 70 percent, and cut the server’s response time in half. In addition, these performance improvements were noticed by users in our small group usability test.

Optimization of web-application performance

2019 ◽  
Author(s):  
Dmytro O. Kovaliuk ◽  
Oleh O. Kovaliuk ◽  
Olga Y. Pinaieva ◽  
Andrzej Kotyra ◽  
Aliya Kalizhanova
Keyword(s):  
Web Application ◽  
Application Performance
Sign in / Sign up

Export Citation Format

Share Document