Peer-reviewed articles 17,970 +



Title: A PROGRAMMING MODEL FOR CONTEXT-AWARE APPLICATIONS IN DIGITAL ECOSYSTEMS

A PROGRAMMING MODEL FOR CONTEXT-AWARE APPLICATIONS IN DIGITAL ECOSYSTEMS
A. Averian
1314-2704
English
17
21
Ecosystems are open adaptive systems with self-organizing properties; they are based on local interaction of the composing elements and generating a general end-result. Digital ecosystems incorporate these features in context-aware applications that work together for the efficient solving of complex dynamic problems. This article considers the digital ecosystems as being open-system of applications with a certain degree of context-awareness. It also presents Econtxt a programming model for the context used by context-aware applications running in digital ecosystems, and proposes an implementation of proposed model. A wide range of approaches of the context have been presented in the specialized literature, the model of context presented in this article is an objectual model, context data is represented in the form of a stream; the streams can connect in various filtering and processing schemes, finally a number of reactive variables are modified in the application. An implementation of proposed context model is presented and analysed in final part of the article.
conference
17th International Multidisciplinary Scientific GeoConference SGEM 2017
17th International Multidisciplinary Scientific GeoConference SGEM 2017, 29 June - 5 July, 2017
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference-SGEM
Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
37-44
29 June - 5 July, 2017
website
cdrom
2934
econtxt; context-awareness; digital ecosystems; context-streams

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