Toward a distributed architecture for context awareness in ubiquitous computing

Authors

  • João Lopes Universidade Federal do Rio Grande do Sul
  • Márcia Gusmão Universidade Federal de Pelotas
  • Cauê Duarte Universidade Federal de Pelotas
  • Patrícia Davet Universidade Federal de Pelotas
  • Rodrigo Souza Universidade Federal do Rio Grande do Sul
  • Ana Pernas Universidade Federal de Pelotas
  • Adenauer Yamin Universidade Federal de Pelotas
  • Cláudio Geyer Universidade Federal do Rio Grande do Sul.

DOI:

https://doi.org/10.4013/jacr.2013.31.03

Abstract

The applications in Ubiquitous Computing (UbiComp) environments must be aware of their contexts of interest and adapt to changes in them. Thus, a major research challenge in the area of UbiComp is related to context awareness. Considering the high distribution, heterogeneity, dynamism, and mobility of ubiquitous environments, this paper presents an architectural model for context awareness, called EXEHDAUC (Execution Environment for Highly Distributed Applications - Ubiquitous Context awareness). The proposal includes elements to support contextual data acquisition, actuation in the environment, and processing of contextual information. We consider that the main contribution of this work is an architecture that supports the managing of the acquisition, storage, and processing of context data, in a distributed way, independently of the application, in an autonomic and rule-based perspective. To assess the functionalities of the EXEHDA-UC, we present a case study, highlighting the prototypes developed, technologies employed, and tests carried out.

Keywords: ubiquitous computing, context awareness, distributed architecture.

Author Biographies

João Lopes, Universidade Federal do Rio Grande do Sul

Márcia Gusmão, Universidade Federal de Pelotas

Cauê Duarte, Universidade Federal de Pelotas

Patrícia Davet, Universidade Federal de Pelotas

Rodrigo Souza, Universidade Federal do Rio Grande do Sul

Ana Pernas, Universidade Federal de Pelotas

Adenauer Yamin, Universidade Federal de Pelotas

Cláudio Geyer, Universidade Federal do Rio Grande do Sul.

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Published

2014-03-11

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Articles