Performance Analysis of Cluster-Based Web System Using the QPN Models

  • Tomasz RakEmail author
Conference paper


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.


Average Response Time Business Transaction Service Demand Performance Engineering Processor Share 
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  1. 1.
    S. Kounev, Performance Engineering of Distributed Component-Base Systems, Benchmarking, Modeling and Performance Prediction, Shaker Verlag (2006)Google Scholar
  2. 2.
    T. Rak, S. Samolej, Simulation and performance analysis of distributed internet systems using TCPNs. Informatica 33(4), 405–415 (2009)Google Scholar
  3. 3.
    T. Rak, S. Samolej, Distributed Internet Systems Modeling Using TCPNs, MCSIT (2008), pp. 559–566. doi: 10.1109/IMCSIT.2008.4747298
  4. 4.
    S. Samolej, T. Szmuc, HTCPNs-based modelling and evaluation of dynamic computer cluster reconfiguration. LNCS 7054, 97–108 (2012). doi:10.1007/978-3-642-28038-2_8 Google Scholar
  5. 5.
    M. Szpyrka, P. Matyasik, R. Mrowka, Alvis-modelling language for concurrent systems. SCI, pp. 315–341 (2011). doi10.1007/978-3-642-21271-0_15 Google Scholar
  6. 6.
    K. Zatwarnicki, A. Zatwarnicka, Modeling operation of web service. CCIS 291, 384–393 (2013). doi:10.1007/978-3-642-38865-1_39 Google Scholar
  7. 7.
    T. Rak, J. Werewka, Performance analysis of interactive internet systems for a class of systems with dynamically changing offers. LNCS 7054, 109–123 (2012). doi:10.1007/978-3-642-28038-2_9 Google Scholar
  8. 8.
    E. Gelenbe, R. Lent, Trade-offs Between Energy and Quality of Service (IEEE Press, New York, 2012)Google Scholar
  9. 9.
    F. Bause, Queueing Petri Nets-A formalism for the Combined Qualitative and Quantitative Analysis of Systems (IEEE Press, New York, 1993), pp. 14–23. doi: 10.1109/PNPM.1993.393439 Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.The Faculty of Electrical and Computer Engineering, Department of Computer and Control EngineeringRzeszow University of TechnologyRzeszowPoland

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