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Fuzzy Availability Analysis of Web Systems by Monte-Carlo Simulation

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Artificial Intelligence and Soft Computing (ICAISC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7268))

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Abstract

The paper describes the availability analysis of Web systems. The analysed systems are modelled as a set of tasks that use data, obtained in an interaction with other tasks, to produce responses. System is reliable - we do not discuss the failure and repair process of the elements. We realise the functional analysis of a Web system measured by a functional availability, i.e. the probability that a client will receive a correct response within a given time limit. The metric is calculated by simulation software developed by authors and based on the Monte-Carlo technique. We model the input load by fuzzy numbers and receive a fuzzy representation of the Web system availability changes during a day. Simulation results of for a testbed system are given.

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© 2012 Springer-Verlag Berlin Heidelberg

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Walkowiak, T., Mazurkiewicz, J., Nowak, K. (2012). Fuzzy Availability Analysis of Web Systems by Monte-Carlo Simulation. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2012. Lecture Notes in Computer Science(), vol 7268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29350-4_73

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  • DOI: https://doi.org/10.1007/978-3-642-29350-4_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29349-8

  • Online ISBN: 978-3-642-29350-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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