Next Article in Journal
Linking Theories, Past Practices, and Archaeological Remains of Movement through Ontological Reasoning
Previous Article in Journal
Information and Communication Technology-Enhanced Business and Managerial Communication in SMEs in the Czech Republic
Previous Article in Special Issue
Analysis on the Relationship between Eating Behavior, Physical Activities and Youth Obesity: Based on the Korea Youth Risk Behavior Survey for High School Students in 2016~2018
Open AccessArticle

Modeling Web Client and System Behavior

Department of Computer and Control Engineering, Rzeszow University of Technology, al. Powstancow Warszawy 12, 35-959 Rzeszow, Poland
Information 2020, 11(6), 337; https://doi.org/10.3390/info11060337
Received: 17 March 2020 / Revised: 11 June 2020 / Accepted: 19 June 2020 / Published: 24 June 2020
(This article belongs to the Special Issue Data Analytics and Consumer Behavior)
Web systems are becoming more and more popular. An efficiently working network system is the basis for the functioning of every enterprise. Performance models are powerful tools for performance prediction. The creation of performance models requires significant effort. In the article, we want to present various performance models of customer and Web systems. In particular, we want to examine a system behaviour related to different flow routes of clients in the system. Therefore we propose Queueing Petri Nets, the new modeling methodology for dealing with performance issues of production systems. We follow the simulation-based approach. We consider 25 different models to check performance. Then we evaluate them based on the proposed metrics. The validation results show that the model is able to predict the performance with a relative error lower than 20%. Our evaluation shows that prepared models can reduce the effort of production system preparation. The resulting performance model can predict the system behaviour in a particular layer at the indicated load. View Full-Text
Keywords: web customer; web systems; response time analysis; queueing petri nets; performance engineering web customer; web systems; response time analysis; queueing petri nets; performance engineering
Show Figures

Figure 1

MDPI and ACS Style

Rak, T. Modeling Web Client and System Behavior. Information 2020, 11, 337.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop