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Fuzzy Reliablity Analysis of Simulated Web Systems

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6922))

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Abstract

The paper presents a new approach to reliability analysis of Web systems using fuzzy logic. Since the reliability parameters of the Web system are often approximated by experts we propose to analyze Web systems using fuzzy logic methodology. We asses the reliability of the system by accumulated down time. Fuzzy logic based reliability analysis, as well as Web system modeling and simulation are presented. Moreover, results of numerical experiment performed on a test case scenario using proposed methodology are given.

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References

  1. Barlow, R., Proschan, F.: Mathematical Theory of Reliability. Society for Industrial and Applied Mathematics, Philadelphia (1996)

    Book  MATH  Google Scholar 

  2. Chan, K.S., Bishop, J., Steyn, J., Baresi, L., Guinea, S.: A fault taxonomy for web service composition. In: Di Nitto, E., Ripeanu, M. (eds.) ICSOC 2007. LNCS, vol. 4907, pp. 363–375. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  3. Conallen, J.: Building Web Applications with UML. Addison Wesley Longman Publishing Co., Amsterdam (2000)

    Google Scholar 

  4. Davila-Nicanor, L., Mejia-Alvarez, P.: Reliability improvement of Web-based software applications . In: Proceedings of Quality Software, QSIC 2004, September 8-9, pp. 180–188 (2004)

    Google Scholar 

  5. Fishman, G.: Monte Carlo: Concepts, Algorithms, and Applications. Springer, New York (1996)

    Book  MATH  Google Scholar 

  6. Ma, L., Tian, J.: Web error classification and analysis for reliability improvement. Journal of Systems and Software 80(6), 795–804 (2007)

    Article  MathSciNet  Google Scholar 

  7. Martinello, M., Kaaniche, M., Kanoun, K.: Web service availability–impact of error recovery and traffic model. Safety, Reliability Engineering & System Safety 89(1), 6–16 (2005)

    Article  Google Scholar 

  8. Mazurkiewicz, J., Walkowiak, T.: Fuzzy Reliability Analysis. In: ICNNSC 2002 – 6th International Conference Neural Networks and Soft Computing, Advances in Soft Computing, pp. 298–303. Physica-Verlag, Heidelberg (2003)

    Google Scholar 

  9. Mazurkiewicz, J., Walkowiak, T.: Fuzzy economic analysis of simulated discrete transport system. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds.) ICAISC 2004. LNCS (LNAI), vol. 3070, pp. 1161–1167. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  10. Nicol, D., Liu, J., Liljenstam, M., Guanhua, Y.: Simulation of large scale networks using SSF. In: Proceedings of the 2003 Winter Simulation Conference, vol. 1, pp. 650–657 (2003)

    Google Scholar 

  11. Nielsen, J.: Usability Engineering. Morgan Kaufmann, San Francisco (1994)

    MATH  Google Scholar 

  12. Piegat, A.: Fuzzy Modeling and Control. EXIT Academic Publishing House, Warsaw (1999) (in Polish)

    MATH  Google Scholar 

  13. Silverman, B.W.: Density Estimation. Chapman and Hall, London (1986)

    Book  MATH  Google Scholar 

  14. Walkowiak, T., Michalska, K.: Performance analysis of service-based information system with load balancer - simulation approach. Dependability of networks, Oficyna Wydawnicza Politechniki Wroclawskiej, 155–168 (2010)

    Google Scholar 

  15. Walkowiak, T.: Information systems performance analysis using task-level simulator, pp. 218–225. IEEE Computer Society Press, Los Alamitos (2009)

    Google Scholar 

  16. Tian, J., Ma, L.: Web Testing for Reliability Improvement. In: Zelkowitz, M.V. (ed.) Advances in Computers, vol. 67, pp. 177–224. Elsevier, Amsterdam (2006)

    Google Scholar 

  17. Zhang, J., Zhang, L.-J.: Criteria analysis and validation of the reliability of Web services-oriented systems, Web Services. In: IEEE International Conference on Web Services (ICWS 2005), pp. 621–628 (2005)

    Google Scholar 

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Walkowiak, T., Michalska, K. (2011). Fuzzy Reliablity Analysis of Simulated Web Systems. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2011. Lecture Notes in Computer Science(), vol 6922. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23935-9_32

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  • DOI: https://doi.org/10.1007/978-3-642-23935-9_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23934-2

  • Online ISBN: 978-3-642-23935-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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