  Because of the growing interest for mobile device and pervasive applications
deployed on cloud computing, the providing of intelligent and ubiquitous
context-aware applications that take into account the user's context is one of
the main challenges in future applications. In this article we consider how to
augment applications aware context used by mobiles device and deployed on cloud
computing. The behavior of these applications should depend not only on their
internal state and user interactions but also on the context sensed during
their execution. Indeed, our approach based on two essential mechanisms,
context sensoring and context reasoning. We consider the information acquired
by the context sensoring as a product line and we use feature models to
represent this information received, the services provided by cloud provider,
the available resources and constraints. At the context reasoning step, the
context provisioning feature model (CSCAFM) algorithm permits to generate
service context-aware that fulfils the requirements of use ensures a certain
level of performance of resources.
