Abstract In the last decade, several works proposed their own approaches about the context management for the Internet of Things (IoT). An important issue in such systems is faced by context data distribution with a sufficient level of quality i.e., Quality of Context (QoC). In this paper, a fuzzy logic-based framework is proposed which handles QoC evaluating within distributed context manager and context-aware applications. In addition, IoT contains massive context sources and data. From this issue, we use MapReduce skyline to speed up the computation and introduce parallelism in the processing. This article presents also a solutions provided by the Model Driven Approach (MDA) for modelling the captured context information from different context source.

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[42] Zimmermann A., Context Management and Personalisation: a Tool Suite for Context-and User-Aware Computing, the Association for Computing Machinery, 2007. Farida Retima is a PhD student in intelligent Computer Science Laboratory University Mohamed Khider Biskra, Alegria. Saber Benharzallah is an associate professor and researcher in the computer science department of Batna2 University, (Algeria). Received his Ph.D degree in 2010 from the same department. Dr Benharzallah is currently the team leader of semantic interoperability and their applications in information systems and web services, in LINFI laboratory (Biskra University). Laid Kahloul received the Ph.D. degree in computer software and theory from the Computer Science Department, Biskra University, Biskra, Algeria, in 2012. He is currently an associate Professor with the Computer Science Department, Biskra University, Algeria. Okba Kazar professor in the Computer Science Department of Biskra, he helped to create the laboratory LINFI at the University of Biskra. He is a member of international conference program committees and the "editorial board" for various magazines. His research interests are artificial intelligence, multi-agent systems, web applications and information systems.