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Kawtar Benghazi

Researcher at University of Granada

Publications -  57
Citations -  361

Kawtar Benghazi is an academic researcher from University of Granada. The author has contributed to research in topics: Middleware (distributed applications) & Cloud computing. The author has an hindex of 9, co-authored 55 publications receiving 315 citations.

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Journal ArticleDOI

A Communication Model to Integrate the Request-Response and the Publish-Subscribe Paradigms into Ubiquitous Systems

TL;DR: The aim is to provide developers with abstractions intended to decrease the complexity of integrating different communication paradigms commonly needed in ubiquitous systems and proposes an abstract communication model in order to enable their seamless integration.
Book ChapterDOI

A Survey on Indoor Positioning Systems: Foreseeing a Quality Design

TL;DR: The survey on different positioning techniques in relation to the satisfaction of certain non-functional requirements such as accuracy, responsiveness, complexity, scalability, etc, is provided so that it can serve as guide to system designers in their ultimate decisions.
Book ChapterDOI

Zappa: An Open Mobile Platform to Build Cloud-Based m-Health Systems

TL;DR: This paper presents an extensible, scalable, highly-interoperable and customizable platform called Zappa, designed to support e-Health/m-Health systems and that is able to operate in the cloud.
Journal ArticleDOI

Enabling correct design and formal analysis of Ambient Assisted Living systems

TL;DR: A verification approach based on timed traces semantics and a methodology based on UML-RT models (MEDISTAM-RT) to check the fulfillment of non-functional requirements, such as timeliness and safety (deadlock freeness), and to assure the correct functioning of the AAL systems are presented.
Proceedings ArticleDOI

A mobile cloud-supported e-rehabilitation platform for brain-injured patients

TL;DR: CloudRehab is described, a customizable home-based e-rehabilitation platform for brain-injured patients that make use of mobile devices, commercial heart rate sensors, Web and Cloud Computing technologies, which has been validated with several patients.