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A Semantic Agile Approach for Reconfigurable Distributed Applications in Pervasive Environments

A Semantic Agile Approach for Reconfigurable Distributed Applications in Pervasive Environments

Abderrahim Lakehal, Adel Alti, Sébastien Laborie, Philippe Roose
Copyright: © 2020 |Volume: 11 |Issue: 2 |Pages: 20
ISSN: 1941-6237|EISSN: 1941-6245|EISBN13: 9781799805724|DOI: 10.4018/IJACI.2020040103
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MLA

Lakehal, Abderrahim, et al. "A Semantic Agile Approach for Reconfigurable Distributed Applications in Pervasive Environments." IJACI vol.11, no.2 2020: pp.48-67. http://doi.org/10.4018/IJACI.2020040103

APA

Lakehal, A., Alti, A., Laborie, S., & Roose, P. (2020). A Semantic Agile Approach for Reconfigurable Distributed Applications in Pervasive Environments. International Journal of Ambient Computing and Intelligence (IJACI), 11(2), 48-67. http://doi.org/10.4018/IJACI.2020040103

Chicago

Lakehal, Abderrahim, et al. "A Semantic Agile Approach for Reconfigurable Distributed Applications in Pervasive Environments," International Journal of Ambient Computing and Intelligence (IJACI) 11, no.2: 48-67. http://doi.org/10.4018/IJACI.2020040103

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Abstract

Nowadays, future mobile applications must have the ability to use distributed smart connected objects on various smart cities domains. Most existing mobile applications have mostly neglected to consider the user's current needs and their preferences that continuously quickly evolve. The authors have developed a novel framework to generate dynamically distributed application as service chains of components and optimize connected objects life cycle. The framework combines a generic context-aware ontology situation model, middleware and IoT for managing user's composite situations at the design and the run-time levels. The first level consists of modeling applications, profiles and usage contexts through a model-driven methodology considering the specified user's constraints. The second level consists of context monitoring mechanisms, situation reasoning and deploying adapted services using Kai-smart platform for meeting user's needs and its current contexts. The proposed framework is validated through several use cases in different smart domains.

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