Impacts Separation Framework for Performance Prediction of E-Business Systems

E-business systems, like Web based systems, usually use application server (AS) to support remote communication between heterogeneous systems. AS will certainly introduce great performance impacts to them transparently. This paper provides an impacts separation framework to automatically include these impacts into the application architecture. AS impacts are separated into isolated aspects and stored in a library, according to features of their component models. Application developer only need to build AS-independence architectures (UML models in this paper), and then the framework will integrated every necessary impacts based on current usage scenarios to form AS-aware models with AS details. The AS-aware models can be transformed into a performance models, and be solved to get performance prediction results. A case study has been presented to illustrate that our framework can deal with different usage scenarios easily.