Impacts Separation Framework for Performance Prediction of Middleware-Based Systems

Model-based performance prediction is a promising cost effective approach to analyze performance of software in early development stages. The key of this approach is to build a performance model suitably coupled with the software artifacts. But this approach is very difficult to be employed in middleware based applications because middleware bring lots of expense to the system performance. Building a performance model directly including details of middleware is somewhat impractical for these details are far from clear to application designers. This paper describes a performance impacts separation framework which separates an application into isolate aspects. Designers only need to care about the application level model design, our framework will automatically compose each aspect together to form a complete model, using an extended aspect-oriented modeling (AOM) technologies. This AOM method is designed particularly for middleware based system designs. A case study has been presented to illustrate that our framework can deal with different deployment scenarios of middleware based application easily.