Abstract
The paper presents the cluster-based web system for that the time rate of changing a system offer is compared to the users’ interaction time with a system. Systems with rapidly changing offer are used in different domains including the electronic trading to build scalable distributed systems. In the paper, such systems are modeled by queueing Petri nets. The aim of this work was to develop simulation models of Internet system by queueing Petri net modeling environment tool to performance analysis. Developed models allow to evaluate their performance (e.g., response time). In our experimental analysis, we use clustered web environment with Apache DayTrader benchmark as an e-trading system. It helped to determine the parameters for the simulation models and then to verify the simulation results. The paper includes the selected results of models simulation. Our approach predicts the performance of the given application deploy on a selected platform.
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Notes
- 1.
Requests class, which has the bigger impact on the behavior of the system (Table 1).
- 2.
A color specifying the types of tokens that can be reside in the place.
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Rak, T. (2014). Performance Analysis of Cluster-Based Web System Using the QPN Models. In: Czachórski, T., Gelenbe, E., Lent, R. (eds) Information Sciences and Systems 2014. Springer, Cham. https://doi.org/10.1007/978-3-319-09465-6_25
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DOI: https://doi.org/10.1007/978-3-319-09465-6_25
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