Towards Extraction of Message-Based Communication in Mixed-Technology Architectures for Performance Model

Abstract

Software systems architected using multiple technologies are becoming popular. Many developers use these technologies as it offers high service quality which has often been optimized in terms of performance. In spite of the fact that performance is a key to the technology-mixed software applications, still there a little research on performance evaluation approaches explicitly considering the extraction of architecture for modelling and predicting performance. In this paper, we discuss the opportunities and challenges in applying existing architecture extraction approaches to support model-driven performance prediction for technology-mixed software. Further, we discuss how it can be extended to support a message-based system. We describe how various technologies deriving the architecture can be transformed to create the performance model. In order to realise the work, we used a case study from the energy system domain as an running example to support our arguments and observations throughout the paper.