Model-Based performance prediction with the palladio component model

  • Authors:

  • Steffen Becker;Heiko Koziolek;Ralf Reussner

  • Affiliations:

  • University of Karlsruhe, Karlsruhe, Germany;University of Oldenburg, Oldenburg, Germany;University of Karlsruhe, Karlsruhe, Germany

  • Venue:
  • WOSP '07 Proceedings of the 6th international workshop on Software and performance
  • Year:
  • 2007

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Abstract

One aim of component-based software engineering (CBSE) is to enable the prediction of extra-functional properties, such as performance and reliability, utilising a well-defined composition theory. Nowadays, such theories and their accompanying prediction methods are still in a maturation stage. Several factors influencing extra-functional properties need additional research to be understood. A special problem in CBSE stems from its specific development process: Software components should be specified and implemented independent from their later context to enable reuse. Thus, extra-functional properties of components need to be specified in a parametric way to take different influence factors like the hardware platform or the usage profile into account. In our approach, we use the Palladio Component Model (PCM) to specify component-based software architectures in a parametric way. This model offers direct support of the CBSE development process by dividing the model creation among the developer roles. In this paper, we present our model and a simulation tool based on it, which is capable of making performance predictions. Within a case study, we show that the resulting prediction accuracy can be sufficient to support the evaluation of architectural design decisions.