Quantitative Analysis of Web Services Using SRMC

  • Authors:
  • Allan Clark;Stephen Gilmore;Mirco Tribastone

  • Affiliations:
  • Laboratory for Foundations of Computer Science, The University of Edinburgh, Scotland;Laboratory for Foundations of Computer Science, The University of Edinburgh, Scotland;Laboratory for Foundations of Computer Science, The University of Edinburgh, Scotland

  • Venue:
  • Formal Methods for Web Services
  • Year:
  • 2009

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Abstract

In this tutorial paper we present quantitative methods for analysing Web Services with the goal of understanding how they will perform under increased demand, or when asked to serve a larger pool of service subscribers. We use a process calculus called SRMC to model the service. We apply efficient analysis techniques to numerically evaluate our model. The process calculus and the numerical analysis are supported by a set of software tools which relieve the modeller of the burden of generating and evaluating a large family of related models. The methods are illustrated on a classical example of Web Service usage in a business-to-business scenario.