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P16: Ambiance: Adaptive Object Model-based Platform for Macroprogramming Sensor Networks |
P16: Ambiance: Adaptive Object Model-based Platform for Macroprogramming Sensor Networks An ambient system requires the integration of computer and communication with physical objects in the environment. The Ambiance project is building a platform for Macroprogramming such systems based on an Adaptive Object Model which provides a meta-level architecture to analyze the execution context and customize the services it provides. Reza Razavi, University of Luxembourg Kirill Mechitov, University of Illinois at Urbana Champaign Sameer Sundresh, University of Illinois at Urbana Champaign Gul Agha, University of Illinois at Urbana Champaign Jean-Fran??ois Perrot, University of Pierre and Marie Curie
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