Abstract
Nowadays, mobile applications are used in various smart domains. These applications are available through interconnected smart connected objects. Several existing research works suffer from a lack of distributed semantic-based agile strategy that improve accuracy and increase the system’s efficiency. To address this problem, this paper comes up with a new flexible, modular and hierarchical loosely coupled framework for efficiently generate context-aware applications based on user’s location and his situation. The classification of user’s situations reveals new insight on identifying efficiently hierarchical composite situations in order to meet the quality of user’s constraints. It ensures minimum execution time for context-aware of distributed mobile applications using parallel and distributed strategy. Firstly, the framework filters the contextual user’s constraints of different smart-domains into domain-specific user’s context. Then, it detects parallel incoming events captured by sensors that are able for identification of factorized composite situations. Based on these identifications, we automatically generate the application reconfiguration as a collection of adapted services that deployed on available distributed devices. We compare the situation identification performance of the proposed reasoning approach to efficient map-reduce implementations for healthcare system. Experimental results show the effectiveness, reusability and scalability of the proposed approach.
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Lakehal, A., Alti, A., Roose, P. (2021). Semantic-Based Automatic Generation of Reconfigurable Distributed Mobile Applications in Pervasive Environments. In: Hameurlain, A., Tjoa, A.M., Chbeir, R. (eds) Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVII. Lecture Notes in Computer Science(), vol 12630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-62919-2_9
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