000192402 001__ 192402
000192402 005__ 20190812205731.0
000192402 037__ $$aCONF
000192402 245__ $$aEnvironment - Application - Adaptation: a Community Architecture for Ambient Intelligence
000192402 269__ $$a2011
000192402 260__ $$c2011
000192402 336__ $$aConference Papers
000192402 520__ $$aThis article considers the software problems of reuse, interoperability and evolution in the context of Ambient Intelligence. A novel approach is introduced: the Environment, Application, Adaptation (EAA) is streamlined for Ambient Intelligence and is evolved from state of the art methods used in software engineering and architecture. In the proposed approach, applications are written by using some abstract functionalities. All environment capabilities are exposed as individual services. Bridging the gap between capabilities of the environment and functionalities required by the applications is done by an adaptation layer that can be dynamically enriched and controlled by the end user. With an implementation and some examples, the approach is shown to favor development of reusable services and to enable unmodified applications to use originally unknown services.
000192402 700__ $$aEmonet, Remi
000192402 7112_ $$aInternational Conference on Ambient Computing, Applications, Services and Technologies
000192402 909C0 $$xU10381$$pLIDIAP$$0252189
000192402 909CO $$pconf$$pSTI$$ooai:infoscience.tind.io:192402
000192402 937__ $$aEPFL-CONF-192402
000192402 970__ $$aEmonet_AMBIENT_2011/LIDIAP
000192402 973__ $$aEPFL
000192402 980__ $$aCONF