A Hybrid Approach for Multi-attribute QoS Optimisation in Component Based Software Systems

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 th...

• Type: Journal
• Year: 2010
• Where: QOSA
• Authors: Anne Martens, Danilo Ardagna, Heiko Koziolek, Raffaela Mirandola, Ralf Reussner
• Keywords: Analytical Optimization Techniques, Component-based Systems Impact, QOSA 2010, Single Quality Attribute, Software Engineering