When executing scientific applications, resources that may be used can vary from multi-core processors to grids. Therefore, abstracting the programming model enables portability on various resource infrastructures. Furthermore, software component technology appears to be a very promising approach to deal with the growing complexity of scientific applications. Hence, we proposed a model to improve the support of master-worker paradigm in component models. Capitalizing on our experience of adaptability frameworks, we propose to enhance our model so that master-worker applications can adapt at runtime to varying conditions. This report studies how to introduce transparently adaptability in our model for master-worker applications, what impact it has on the model, and what requirements it expects from the adaptability framework.