The objective of this collaboration is to jointly research and develop common research projects with the goal of extending the current state of the art in self-adaptive mobile applications in order to leverage the potential of cloud computing such that an adaptive application on a mobile device
(1) may be reconfigured on-the-fly in order to bind to and use a service provided in the cloud if this service provides a higher utility to the application user than what has been in use before, and
(2) may ?outso urce? compute intensive application or middleware components to the cloud, for example in order to gain performance, save battery resources, or obtain more storage capacity.
Clearly, the fact that we are dealing with applications on mobile computing devi ces raises a number of challenges in terms of robustness, resource consumption, scalability, and more. Furthermore, these open research questions provide excellent opportunities for PhD and Masters students to perform research at the forefront of the stat e of the art.
If successful, the results of this research will provide a seamless merging of dynamic application adaptation and access to cloud computing services and resources.
The found solutions will be experimentally validated in terms of performance and power consumption.
In our work we plan to leverage exiting middlware for mobile applications such as the MUSIC middleware (www.berlios.de). We aim to publish at least three papers in highly reputed conferences and journals.
In view of the above st ated objectives, we propose activities involving regular exchange of staff and PhD students. This will strengthen both groups by providing group members with easier access to the other groups methods. It will also encourage research collaboration by estab lishing personal relations between students.