Ambiance: adaptive object model-based platform for macroprogramming sensor networks

Authors:
Reza Razavi;Kirill Mechitov;Sameer Sundresh;Gul Agha;Jean-François Perrot
Affiliations:
University of Luxembourg, FSTC, LUXEMBOURG;UIUC, IL;UIUC, IL;UIUC, IL;Université Pierre et Marie Curie, Paris, FRANCE
Venue:
Companion to the 21st ACM SIGPLAN symposium on Object-oriented programming systems, languages, and applications
Year:
2006

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Abstract

A pervasive computing system requires the integration of computation and communication with physical objects in the environment. The Ambiance project is building a platform for Macro-programming pervasive systems based on an Adaptive Object-Model; the platform provides a meta-level architecture to analyze the execution context and customize the services it provides.