Load Testing Analyzer for Web Application

2020 ◽  
Author(s):  
Shivangi Kaushal
Keyword(s):  
Web Application ◽  
Load Testing

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.

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

Load-Testing of Web Site Applications

2002 ◽  
pp. 209-213
Author(s):  
Vijay V. Raghavan
Keyword(s):  
Web Sites ◽  
Web Application ◽  
Competitive Advantages ◽  
Load Testing ◽  
Production Environment ◽  
Rigorous Testing ◽  
Rapid Changes ◽  
Business Support ◽  
Role Of Information

The growth in e-commerce has been accompanied by an enormous need to host robust web sites. Electronic Commerce has changed the role of Information Technology (IT) function from its elementary business support to providing key competitive advantages. Rapid changes in several technologies, while improving the ability to develop and deliver web sites quickly, have also increased the complexity of designing and managing them. It is easy for a consumer or business partner to change to a different supplier if an in-house or outsourced E-Commerce site does not perform up to expectations. Implementing an appropriate web-application testing program is critical in an environment where barriers to switching suppliers of web sites are minimal. Developing robust web sites that perform well under varying loads can be ensured only by a rigorous testing of these web sites before launching them in a production environment.

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.

Sign in / Sign up

Export Citation Format

Share Document