Towards a reference middleware architecture for Ambient Intelligence Systems
Majid Bavafa, Néda Navidi
Abstract
Majid Bavafa, Néda Navidi
Abstract
Ambient-intelligence (AmI) systems raise a series of new challenges in software and system development: Mobility, adaptability and heterogeneity are new concerns that have to be addressed. Many of these concerns are common and therefore should be addressed by a common AmI infrastructure instead of each individual application. This position paper proposes a bottom-up approach for the development of such a middleware infrastructure, which allows for easy customization to different hardware topologies.
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Ambient-intelligence (AmI) systems raise a series of new challenges in software and system development: Mobility, adaptability and heterogeneity are new concerns that have to be addressed. Many of these concerns are common and therefore should be addressed by a common AmI infrastructure instead of each individual application. This position paper proposes a bottom-up approach for the development of such a middleware infrastructure, which allows for easy customization to different hardware topologies.
Key concepts: Middleware (distributed applications), Ambient intelligence, Computer science, Adaptability, Personalization, Software architecture, Position paper, Software engineering