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Predicting Mean Service Execution Times of Software Components Based on Markov Models

  • Conference paper
Quality of Software Architectures and Software Quality (QoSA 2005, SOQUA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 3712))

Abstract

One of the aims of component-based software engineering is the reuse of existing software components in different deployment contexts. With the redeployment of a component, its performance changes, since it depends on the performance of external services, the underlying hardware and software, and the operational profile. Therefore, performance prediction models are required that are able to handle these dependencies and use the properties of component-based software systems. Parametric contracts model the relationship of provided and required services of a component. In this paper, we analyse the influence of external services on the service execution time applying parametric contracts and a performance prediction algorithm based on Markov chains. We verbalise the assumptions of this approach and evaluate their validity with an experiment. We will see that most of the assumptions hold only under certain constraints.

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Happe, J. (2005). Predicting Mean Service Execution Times of Software Components Based on Markov Models. In: Reussner, R., Mayer, J., Stafford, J.A., Overhage, S., Becker, S., Schroeder, P.J. (eds) Quality of Software Architectures and Software Quality. QoSA SOQUA 2005 2005. Lecture Notes in Computer Science, vol 3712. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558569_6

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  • DOI: https://doi.org/10.1007/11558569_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29033-9

  • Online ISBN: 978-3-540-32056-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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