@samuel.kounev

Model-Based Performance Prediction for Event-Driven Systems

, and . Proceedings of the Third ACM International Conference on Distributed Event-Based Systems (DEBS 2009), page 33:1--33:2. New York, NY, USA, ACM, (July 2009)

Abstract

The event-driven communication paradigm provides a number of advantages for building loosely coupled distributed systems. However, the loose coupling of components in such systems makes it hard for developers to estimate their behavior and performance under load. Most existing performance prediction techniques for systems using event-driven communication require specialized knowledge to build the necessary prediction models. In this paper, we propose an extension of the Palladio Component Model (PCM) that provides natural support for modeling event-based communication and supports different performance prediction techniques.

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