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QoS management for dependable sensory environments

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Abstract

Sensory environments for healthcare are commonplace nowadays. A patient monitoring system in such an environment deals with sensor data capture, transmission and processing in order to provide on-the-spot support for monitoring the vulnerable and critical patients. A fault in such a system can be hazardous on the health of the patient. Therefore, such a system must be dependable and ensure reliability, fault-tolerance, safety and other critical aspects, in order to deploy it in real scenario. Also, the management of the infrastructure resources must be efficient and the eventual system reconfiguration must be reliably performed. This paper encounters some of these issues and proposes a component platform with specific support for several QoS aspects, namely fault tolerance, safe inter-component communication and resource management. The platform adopts the Service Component Architecture (SCA) model and defines a Data Distribution Service (DDS) binding, which provides the fault tolerance and the required safety-ensuring techniques and measures, as defined in the IEC 61784-3-3 standard. As a proof of concept, a distributed home care application that improves the medical assistance in case of fire detection is presented.

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Acknowledgments

This work was financed in part by the University of the Basque Country (UPV/EHU) under project UFI 11/28, by the Regional Government of the Basque Country under Project IT719-13, and by the MCYT&FEDER under project DPI 2012-37806-C02-01. Also, the authors would like to extend their sincere appreciation to the Deanship of Scientific Research at King Saud University for its funding of this International Research Group (IRG14-28).

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Authors and Affiliations

  1. Embedded Systems, IK4-Ikerlan, Arrasate, Spain

    Aitor Agirre & Jorge Parra

  2. Department of Electronics and Automatic Engineering, University of Jaén, Jaén, Spain

    Elisabet Estévez

  3. Department of Automatic Control and Systems Engineering, University of the Basque Country (UPV/EHU), Leioa, Spain

    Aintzane Armentia & Marga Marcos

  4. College of Computer Science and Information Sciences, King Saud University, Riyadh, Saudi Arabia

    Ahmed Ghoneim

  5. Department of Computer Science, College of Science, Menoufia University, Shebeen El-Kom, Egypt

    Ahmed Ghoneim

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  1. Aitor Agirre
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  2. Jorge Parra
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  3. Aintzane Armentia
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  5. Elisabet Estévez
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  6. Marga Marcos
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Correspondence to Jorge Parra.

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Agirre, A., Parra, J., Armentia, A. et al. QoS management for dependable sensory environments. Multimed Tools Appl 75, 13397–13419 (2016). https://doi.org/10.1007/s11042-015-2781-4

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