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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
References15
  1. S. A. Levin, “Ecosystems and the Biosphere as Complex Adaptive Systems,” Ecosystems, vol. 1, no. 5, pp. 431–436, 1998.

  2. G. Briscoe, “Digital Ecosystems : Evolving Service-Oriented Architectures,” no. 507953, 2006.

  3. G. Briscoe and S. Sadedin, “Natural science paradigms,” Digit. Bus. Ecosyst., pp. 48–55, 2007.

  4. E. Chang and M. West, “Digital Ecosystems A Next Generation of the Collaborative Environment,” Eight Int. Conf., vol. 214, pp. 3–23, 2006.

  5. E. Chang and M. West, “Digital Ecosystems and comparison to existing collaboration environment,” WSEAS Trans. Environ. Dev., vol. 2, no. 11, pp. 1396–1404, 2006.

  6. L. D. Serbanati, F. L. Ricci, G. Mercurio, and A. Vasilateanu, “Steps towards a digital health ecosystem.,” J. Biomed. Inform., vol. 44, pp. 621–636, 2011.

  7. T. Strang and C. Linnhoff-Popien, “A Context Modeling Survey,” Graph. Models, vol. Workshop o, no. 4, pp. 1–8, 2004.

  8. A. K. Dey, “Understanding and Using Context,” Pers. Ubiquitous Comput. J., vol. 1, no. 5, pp. 4–7, 2001.

  9. A. K. Dey, “Providing Architectural Support for Building Context-Aware Applications,” no. November, 2000.

  10. A. K. Dey, G. D. Abowd, and D. Salber, “A Context-Based Infrastructure for Smart Environments,” Context, pp. 1–15, 1999.

  11. C. Jacquet, Y. Bourda, and Y. Bellik, “A Component-Based Platform for Accessing Context in Ubiquitous Computing Applications,” J. Ubiquitous Comput. Intell., vol. 1, no. 2, pp. 163–173, 2007.

  12. G. Salvaneschi, G. Hintz, and M. Mezini, “REScala: bridging between object-oriented and functional style in reactive applications,” Proc. 13th Int. Conf. Modul. - Modul. ’14, pp. 25–36, 2014.

  13. S. Sehic, F. Li, S. Nastic, and S. Dustdar, “A programming model for context-aware applications in large-scale pervasive systems,” Int. Conf. Wirel. Mob. Comput. Netw. Commun., pp. 142–149, 2012.

  14. B. Schilit, N. Adams, and R. Want, “Context-aware computing applications,” in Mobile Computing Systems and Applications, 1994. WMCSA 1994. First Workshop on, 1994, pp. 85–90.

  15. H. bin Duan, X. yin Zhang, J. Wu, and G. jun Ma, “Max-Min Adaptive Ant Colony Optimization Approach to Multi-UAVs Coordinated Trajectory Replanning in Dynamic and Uncertain Environments,” J. Bionic Eng., vol. 6, no. 2, pp. 161–173, 2009.

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Number of times cited according to Crossref: 1

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