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

AMA Style

Rak T. Modeling Web Client and System Behavior. Information. 2020; 11(6):337.

Chicago/Turabian Style

Rak, Tomasz. 2020. "Modeling Web Client and System Behavior" Information 11, no. 6: 337.

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