MultiS: A Context-Server for Pervasive Computing

Authors:
Felipe Weber Fehlberg;Carlos O. Rolim;Valderi R. Q. Leithardt;Claudio F. R. Geyer;Luciano C. Silva;Anubis G. M. Rossetto
Affiliations:
Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil;Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil;Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil;Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil;Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil;Federal Institute of Education, Science and Technology Sul-rio-grandense - Campus Passo Fundo, Passo Fundo, Brazil
Venue:
Electronic Notes in Theoretical Computer Science (ENTCS)
Year:
2013

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Abstract

Context-aware applications are capable of recognizing environmental changes and adapting their behavior to the new context. This process can be divided into three stages: monitoring, context recognition and adaptation. On the monitoring layer, raw information about the environment is collected from sensors. The context recognition layer processes the data acquired from the context and transforms it into information which can be useful for the adaptation process. With this information, the adaptation system can determine what behavior is correct for the application in each different context. This paper proposes a context server called MultiS, which has the goal of solving the problems arising from the context recognition layer, and which includes the following advantages: a) the production of new context data based on the information of several sensors and an ability to react to changes in the environment; b) definition of a composed language for the context data called CD-XML; c) support for mobility.