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

Reza Razavi, Kirill Mechitov, Sameer Sundresh, Gul Agha, Jean François Perrot

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationCompanion to the 21st ACM SIGPLAN Conference on Object-oriented Programming Systems, Languages, and Applications, OOPSLA 2006
Pages663-664
Number of pages2
DOIs
StatePublished - 2006
Event21st Annual ACM SIGPLAN Conference on Object-oriented Programming Systems, Languages, and Applications, OOPSLA 2006 - Portland, OR, United States
Duration: Oct 22 2006Oct 26 2006

Publication series

NameProceedings of the Conference on Object-Oriented Programming Systems, Languages, and Applications, OOPSLA
Volume2006

Other

Other21st Annual ACM SIGPLAN Conference on Object-oriented Programming Systems, Languages, and Applications, OOPSLA 2006
Country/TerritoryUnited States
CityPortland, OR
Period10/22/0610/26/06

Keywords

  • Actors
  • Adaptive object-models
  • Sensor networks

ASJC Scopus subject areas

  • Software

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