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A PROGRAMMING MODEL FOR CONTEXT-AWARE APPLICATIONS IN DIGITAL ECOSYSTEMS

Alexandru Averian

First published: 2017-06-20https://doi.org/10.5593/sgem2017/21/s07.006View metrics

Abstract

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.

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Publication details

Title
A PROGRAMMING MODEL FOR CONTEXT-AWARE APPLICATIONS IN DIGITAL ECOSYSTEMS
Authors
Alexandru Averian
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
37-44
SWS Citekey
Averian201773744
ISSN
1314-2704
ISBN
978-619-7408-01-0
Language
en
Publication type
Conference Paper
Keywords
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Number of times cited according to Crossref: 1

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