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Fuzzy Availability Analysis of Web Systems by Monte-Carlo Simulation

  • Tomasz Walkowiak
  • Jacek Mazurkiewicz
  • Katarzyna Nowak
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7268)

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.

Keywords

Fuzzy Number Business Service Service Component User Request Technical Service 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Tomasz Walkowiak
    • 1
  • Jacek Mazurkiewicz
    • 1
  • Katarzyna Nowak
    • 1
  1. 1.Institute of Computer Engineering, Control and RoboticsWroclaw University of TechnologyWroclawPoland

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