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Ambiance: adaptive object model-based platform for macroprogramming sensor networks
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Companion to the 21st ACM SIGPLAN symposium on Object-oriented programming systems, languages, and applications table of contents
Portland, Oregon, USA
POSTER SESSION: OOPSLA posters chair's welcome table of contents
Pages: 663 - 664  
Year of Publication: 2006
ISBN:1-59593-491-X
Authors
Reza Razavi  University of Luxembourg, FSTC, LUXEMBOURG
Kirill Mechitov  UIUC, IL
Sameer Sundresh  UIUC, IL
Gul Agha  UIUC, IL
Jean-François Perrot  Université Pierre et Marie Curie, Paris, FRANCE
Sponsors
SIGPLAN: ACM Special Interest Group on Programming Languages
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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IST Advisory Group. Ambient intelligence: from vision to reality, September 2003.
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Sturman, D., Agha, G. A Protocol Description Language for Customizing Failure Semantics. 13th Symposium on Reliable Distributed Systems (SRDS), pp 148--157, October 1994.
 
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Razavi, R.: "Outils pour les Langages d'Experts - Adaptation, Refactoring et Réflexivité". Ph.D. Thesis, Paris 6, 2001.
 
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Ginot, V., Le Page, C., Souissi, S: A multi-agents architecture to enhance end-user individual-based modeling. Ecological Modeling 157, pp.23--41, 2002.

Collaborative Colleagues:
Reza Razavi: colleagues
Kirill Mechitov: colleagues
Sameer Sundresh: colleagues
Gul Agha: colleagues
Jean-François Perrot: colleagues