Abstract
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.
Reference24 articles.
1. Performance Analysis for Job Scheduling in Hierarchical HPC Systems: A Coloured Petri Nets Method;Li,2015
2. Response Time Analysis of Distributed Web Systems Using QPNs
3. QPME - Queueing Petri Net Modeling Environment
4. Cluster-Based Web System Models for Different Classes of Clients in QPN;Rak,2019
5. Performance Analysis of Cluster-Based Web System Using the QPN Models;Rak,2014
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献