Context Management for Distributed and Dynamic Context-Aware Computing

da Rocha Ricardo Couto Antunes Endler Markus

ISBN 10: 1447140192 ISBN 13: 9781447140191

Editorial: Springer, 2012

Idioma: Ingl�s

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Print on Demand pp. 104 35 Illus.

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Detalles bibliogr�ficos

T�tulo: Context Management for Distributed and Dynamic Context-Aware Computing
Editor: Springer
Fecha de publicaci�n: 2012
Idioma: Ingl�s
ISBN 10: 1447140192
ISBN 13: 9781447140191
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: New

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Sinopsis

Research in context-aware computing has produced a number of middleware systems for context management. However, development of ubiquitous context-aware applications is still a challenge because most current middleware systems are still focused on isolated and static context-aware environments. Context-aware environments are inherently dynamic as a result of occasional additions or upgrade of sensors, applications or context inference mechanisms.

Context Management for Distributed and Dynamic Context-Aware Computing proposes a novel architecture for context management based on the concept of context domains, allowing applications to keep context interests across distributed context management systems. The authors describe a distributed middleware that implements the aforementioned concepts, without compromising scalability and efficiency of context access.

De la contraportada

Research in context-aware computing has produced a number of middleware systems for context management. However, development of ubiquitous context-aware applications is still a challenge because most current middleware systems are still focused on isolated and static context-aware environments. Context-aware environments are inherently dynamic as a result of occasional additions or upgrade of sensors, applications or context inference mechanisms.

Context Management for Distributed and Dynamic Context-Aware Computing proposes a novel architecture for context management based on the concept of context domains, allowing applications to keep context interests across distributed context management systems. The authors describe a distributed middleware that implements the aforementioned concepts, without compromising scalability and efficiency of context access.

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