Towards middleware-aware integration of event-based communication into the Palladio component model

Authors:
Christoph Rathfelder;Benjamin Klatt;Samuel Kounev;David Evans
Affiliations:
FZI Research Center for Information Technology, Karlsruhe, Germany;FZI Research Center for Information Technology, Karlsruhe, Germany;Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany;University of Cambridge, Cambridge, UK
Venue:
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
Year:
2010

Citing 4
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The Palladio component model for model-driven performance prediction

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Modeling event-driven service-oriented systems using the palladio component model

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Reconfigurable middleware for high availability sensor systems

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Integration of event-based communication in the palladio software quality prediction framework

Proceedings of the joint ACM SIGSOFT conference -- QoSA and ACM SIGSOFT symposium -- ISARCS on Quality of software architectures -- QoSA and architecting critical systems -- ISARCS
Modeling of Event-based Communication in Component-based Architectures: State-of-the-Art and Future Directions

Electronic Notes in Theoretical Computer Science (ENTCS)

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Abstract

The event-based communication paradigm is becoming increasingly ubiquitous as an enabling technology for building loosely-coupled distributed systems. However, the loose coupling of components in such systems makes it hard for developers to predict their performance under load. Most general purpose performance meta-models for component-based systems provide limited support for modelling event-based communication and neglect middleware-specific influence factors. In this poster, we present an extension of our approach to modelling event-based communication in the context of the Palladio Component Model (PCM), allowing to take into account middleware-specific influence factors. The latter are captured in a separate model automatically woven into the PCM instance by means of a model-to-model transformation. As a second contribution, we present a short case study of a real-life road traffic monitoring system showing how event-based communication can be modelled for performance prediction and capacity planning.