A hybrid approach for multi-attribute qos optimisation in component based software systems

  • Authors:

  • Anne Martens;Danilo Ardagna;Heiko Koziolek;Raffaela Mirandola;Ralf Reussner

  • Affiliations:

  • Karlsruhe Institute of Technology, Karlsruhe, Germany;Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy;ABB Corporate Research, Ladenburg, Germany;Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy;Karlsruhe Institute of Technology, Karlsruhe, Germany

  • Venue:
  • QoSA'10 Proceedings of the 6th international conference on Quality of Software Architectures: research into Practice - Reality and Gaps
  • Year:
  • 2010

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Abstract

Design decisions for complex, component-based systems impact multiple quality of service (QoS) properties. Often, means to improve one quality property deteriorate another one. In this scenario, selecting a good solution with respect to a single quality attribute can lead to unacceptable results with respect to the other quality attributes. A promising way to deal with this problem is to exploit multi-objective optimization where the objectives represent different quality attributes. The aim of these techniques is to devise a set of solutions, each of which assures a trade-off between the conflicting qualities. To automate this task, this paper proposes a combined use of analytical optimization techniques and evolutionary algorithms to efficiently identify a significant set of design alternatives, from which an architecture that best fits the different quality objectives can be selected. The proposed approach can lead both to a reduction of development costs and to an improvement of the quality of the final system. We demonstrate the use of this approach on a simple case study.