Abstract
This paper presents an approach and a corresponding tool for generating probabilistic and intensity-varying workload for Web-based software systems. The workload to be generated is specified in two types of models. An application model specifies the possible interactions with the Web-based software system, as well as all required low-level protocol details by means of a hierarchical finite state machine. Based on the application model, the probabilistic usage is specified in corresponding user behavior models by means of Markov chains. Our tool Markov4JMeter implements our approach to probabilistic workload generation by extending the popular workload generation tool JMeter. A case study demonstrates how probabilistic workload for a sample Web application can be modeled and executed using Markov4JMeter.
This work is supported by the German Research Foundation (DFG), grant GRK 1076/1.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Menascé, D.A.: Load testing of web sites. IEEE Internet Computing 6(4), 70–74 (2002)
Barford, P., Crovella, M.: Generating representative web workloads for network and server performance evaluation. In: Proceedings of the ACM SIGMETRICS, pp. 151–160. ACM, New York (1998)
Apache Software Foundation: JMeter, http://jakarta.apache.org/jmeter/
Fielding, R., Gettys, J., Mogul, J., Frystyk, H., Masinter, L., Leach, P., Berners-Lee, T.: Request for comment (RFC) 2616: Hypertext Transfer Protocol – HTTP (1999)
Menascé, D.A., Almeida, V.A.F., Fonseca, R., Mendes, M.A.: A methodology for workload characterization of e-commerce sites. In: Proceedings of the ACM Conference on Electronic Commerce (EC 1999), pp. 119–128. ACM, New York (1999)
Whittaker, J.A., Thomason, M.G.: A markov chain model for statistical software testing. IEEE Transactions on Software Engineering 20(10), 812–824 (1994)
Li, Z., Tian, J.: Testing the suitability of markov chains as web usage models. In: Proceedings of the 27th International Conference on Computer Software and Applications (COMPSAC 2003), pp. 356–361. IEEE, Los Alamitos (2003)
Ballocca, G., Politi, R., Ruffo, G., Russo, V.: Benchmarking a site with realistic workload. In: Proceedings of the 5th IEEE International Workshop on Workload Characterization (WWC-5), pp. 14–22. IEEE, Los Alamitos (2002)
Krishnamurthy, D., Rolia, J.A., Majumdar, S.: A synthetic workload generation technique for stress testing session-based systems. IEEE Transactions on Software Engineering 32(11), 868–882 (2006)
Shams, M., Krishnamurthy, D., Far, B.: A model-based approach for testing the performance of web applications. In: Proceedings of the International Workshop on Software Quality Assurance (SOQUA 2006), pp. 54–61. ACM, New York (2006)
Peña-Ortiz, R., Sahuquillo, J., Pont, A., Gil, J.A.: Modeling continuous changes of the user’s dynamic behavior in the WWW. In: Proceedings of the 5th International Workshop on Software and Performance (WOSP 2005), pp. 175–180. ACM, New York (2005)
Arlow, J., Neustadt, I.: UML 2 and the Unified Process: Practical Object-Oriented Analysis and Design, 2nd edn. Addison-Wesley, Reading (2005)
Dijkstra, E.W.: Cooperating sequential processes. In: Genuys, F. (ed.) Programming Languages, Academic Press, London (1965)
van Hoorn, A.: Markov4JMeter, http://markov4jmeter.sourceforge.net/
van Hoorn, A.: Workload-sensitive timing behavior anomaly detection in large software systems (September 2007), Master’s thesis (Diplomarbeit), Department of Computing Science, University of Oldenburg, Germany
Rohr, M.: Workload-sensitive Timing Behavior Anomaly Detection for Automatic Software Fault Localization. PhD thesis, Department for Computing Science, University of Oldenburg, Oldenburg, Germany (2008) (work in progress)
Matevska, J., Hasselbring, W.: A scenario-based approach to increasing service availability at runtime reconfiguration of component-based systems. In: Proceedings of the 33rd Euromicro Conference on Software Engineering and Advanced Applications (SEAA), pp. 137–144. IEEE, Los Alamitos (2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
van Hoorn, A., Rohr, M., Hasselbring, W. (2008). Generating Probabilistic and Intensity-Varying Workload for Web-Based Software Systems. In: Kounev, S., Gorton, I., Sachs, K. (eds) Performance Evaluation: Metrics, Models and Benchmarks. SIPEW 2008. Lecture Notes in Computer Science, vol 5119. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69814-2_9
Download citation
DOI: https://doi.org/10.1007/978-3-540-69814-2_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69813-5
Online ISBN: 978-3-540-69814-2
eBook Packages: Computer ScienceComputer Science (R0)