HADAS a team from Grenoble Informatics Laboratory

Context Management for service adaption in Ambiant computing

Anis Benyelloul
under the direction of Marie-Christine Rousset and Fabrice Jouanot.
Funding: ANR Continuum (Jan 09 - Jan 12)
This thesis has not been defended.

The new information systems are intended to be deployed in dynamic environments of various scales (P2P, networks of sensors, Web 2.0,dataspaces). These changing environments make it impossible for services to obtain optimal results with pre-defined strategies. The execution of services must adapt to the context of use while fulfilling business
requirements in an effective way. The concept of context becomes fundamental to provide knowledge necessary to any reactivity and daptation of a software service.
The thesis will address modeling and management of contextual information, detection of relevant situations, and extraction of nformation which will make it possible to carry out the required adaptations. The thesis will concentrate in particular on the qualitative aspect of contextual information.