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MultiS: A Context-Server for Pervasive Computing
Author(s) -
Felipe Weber Fehlberg,
Carlos Oberdan Rolim,
Valderi Reis Quietinho Leithardt,
Cláudio F. R. Geyer,
Luciano C. Silva,
Anubis G.M. Rossetto
Publication year - 2013
Publication title -
electronic notes in theoretical computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.242
H-Index - 60
ISSN - 1571-0661
DOI - 10.1016/j.entcs.2013.02.004
Subject(s) - computer science , context (archaeology) , adaptation (eye) , ubiquitous computing , process (computing) , layer (electronics) , context awareness , xml , raw data , context model , human–computer interaction , world wide web , artificial intelligence , operating system , programming language , paleontology , linguistics , chemistry , physics , philosophy , organic chemistry , phone , object (grammar) , optics , biology
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

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