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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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
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