Programming mobile context-aware applications with TOTAM

•We propose a novel tuple space model to support the development of context-aware applications deployed on mobile networks.•We discuss how current tuple space approaches can lead to erroneous perception of context.•We extend the notion of a tuple with a context rule that determines whether the tuple...

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Vydané v:The Journal of systems and software Ročník 92; s. 3 - 19
Hlavní autori: Gonzalez Boix, Elisa, Scholliers, Christophe, De Meuter, Wolfgang, D’Hondt, Theo
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Elsevier Inc 01.06.2014
Elsevier Sequoia S.A
Predmet:
API
Application programming interface
Applications programs
Benchmarks
Collocation
Comparative analysis
Computer science
Context-awareness
Devices
Linguistics
Mobile communication systems
Perception
Programming
Programming abstractions
Programming languages
Replication
Studies
Tuple spaces
Programming abstractions
Tuple spaces
Context-awareness
ISSN:0164-1212, 1873-1228
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Popis
Shrnutí:•We propose a novel tuple space model to support the development of context-aware applications deployed on mobile networks.•We discuss how current tuple space approaches can lead to erroneous perception of context.•We extend the notion of a tuple with a context rule that determines whether the tuple is in the right context or not.•We describe informally and formally our approach and demonstrate its applicability by means of various mobile applications.•Benchmarks show that our approach can lead to a significant increase in performance compared to other approaches. In tuple space approaches to context-aware mobile systems, the notion of context is defined by the presence or absence of certain tuples in the tuple space. Existing approaches define such presence either by collocation of devices holding the tuples or by replication of tuples across all devices. We show that both approaches can lead to an erroneous perception of context. Collocation ties the perception of context to network connectivity which does not always yield the expected result. Tuple replication can cause that a certain context is perceived even if the device has left the context a long time ago. We propose a tuple space approach in which tuples themselves carry a predicate that determines whether they are in the right context or not. We present a practical API for our approach and show its use by means of the implementation of various mobile applications. Benchmarks show that our approach can lead to a significant increase in performance compared to other approaches.
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ISSN:0164-1212
1873-1228
DOI:10.1016/j.jss.2013.07.031