Open Systems Laboratory at Illinois

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

By Reza Razavi, Kirill Mechitov, Sameer Sundresh, Gul Agha, and Jean-François Perrot. In OOPSLA Companion, 663–664. ACM, 2006.

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http://doi.acm.org/10.1145/1176617.1176662

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.

BibTeX

@inproceedings{conf/oopsla/RazaviMSAP06,
    author = "Razavi, Reza and Mechitov, Kirill and Sundresh, Sameer
              and Agha, Gul and Perrot, Jean-François",
    editor = "Tarr, Peri L. and Cook, William R.",
    title = "Ambiance: adaptive object model-based platform for
             macroprogramming sensor networks",
    booktitle = "OOPSLA Companion",
    crossref = "conf/oopsla/2006c",
    ee = "http://doi.acm.org/10.1145/1176617.1176662",
    keywords = "sensor networks, real-time systems, programming
                languages",
    pages = "663-664",
    year = "2006",
}

@proceedings{conf/oopsla/2006c,
    editor = "Tarr, Peri L. and Cook, William R.",
    title = "Companion to the 21th Annual ACM SIGPLAN Conference on
             Object-Oriented Programming, Systems, Languages, and Applications,
             OOPSLA 2006, October 22-26, 2006, Portland, Oregon, USA",
    isbn = "1-59593-491-X",
    publisher = "ACM",
    year = "2006",
}