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Predicting the Performance of Component-Based Software Architectures with Different Usage Profiles

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Software Architectures, Components, and Applications (QoSA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4880))

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Abstract

Performance predictions aim at increasing the quality of software architectures during design time. To enable such predictions, specifications of the performance properties of individual components within the architecture are required. However, the response times of a component might depend on its configuration in a specific setting and the data send to or retrieved from it. Many existing prediction approaches for component-based systems neglect these influences. This paper introduces extensions to a performance specification language for components, the Palladio Component Model, to model these influences. The model enables to predict response times of different architectural alternatives. A case study on a component-based architecture for a web portal validates the approach and shows that it is capable of supporting a design decision in this scenario.

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Authors and Affiliations

  1. Graduate School Trustsoft University of Oldenburg, Germany and, Chair for Software Design and Quality, University of Karlsruhe, Germany

    Heiko Koziolek, Steffen Becker & Jens Happe

Authors
  1. Heiko Koziolek
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  2. Steffen Becker
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  3. Jens Happe
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Editor information

Editors and Affiliations

  1. Dept. of Software Engineering and Business Information Systems, Augsburg University, Universitätsstraße 16, P.O. Box, 86135, Augsburg, Germany

    Sven Overhage

  2. Microsoft, USA

    Clemens A. Szyperski

  3. University of Karlsruhe, Am Fasanengarten 5, D-76128, Karlsruhe, Germany

    Ralf Reussner

  4. Computer Science, Tufts University, 161 College Avenue, Medford, 02155, Boston, MA, USA

    Judith A. Stafford

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© 2007 Springer-Verlag Berlin Heidelberg

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Koziolek, H., Becker, S., Happe, J. (2007). Predicting the Performance of Component-Based Software Architectures with Different Usage Profiles. In: Overhage, S., Szyperski, C.A., Reussner, R., Stafford, J.A. (eds) Software Architectures, Components, and Applications. QoSA 2007. Lecture Notes in Computer Science, vol 4880. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77619-2_9

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  • DOI: https://doi.org/10.1007/978-3-540-77619-2_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77617-8

  • Online ISBN: 978-3-540-77619-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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