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FOG Computing and Low Latency Context-Aware Health Monitoring in Smart Interconnected Environments

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Book cover Advances in Internet, Data & Web Technologies (EIDWT 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 17))

Abstract

Treatment and management of the increasing complexity in medical conditions experienced by an ageing demographic requires increased use of medical resources and patient management. Effective management may be achieved using autonomic health monitoring systems, a topic much discussed in the literature, however such monitoring has generally been limited to the ‘smart-home’ environment. In this paper we consider extending patient monitoring from only the ‘smart-home’ to a wider ‘smart-environment’ which conflates ‘smart-homes’ with the ‘smart-city’ based on the FOG computing paradigm. FOG is a term created by Cisco systems and is also known as edge computing or ‘fogging’. We introduce a model which incorporates FOG and cloud-based computing for a low latency healthcare monitoring system which enables comprehensive ‘real-time’ monitoring with situational awareness and data analytic solutions. Two illustrative scenarios are presented predicated on the monitoring of patients with dementia, however, the posited approach will generalise to other medical conditions where monitoring is required.

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Notes

  1. 1.

    Mekong Eye: https://www.mekongeye.com/2016/10/11/wb-helps-build- environment-data-centre-in-mekong-delta/.

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Author information

Authors and Affiliations

  1. School of Information Science and Engineering, Lanzhou University, Lanzhou, 730030, Gansu Sheng, China

    Philip Moore

  2. School of Information Technology and Communication, Hanoi University of Science and Technology, Hanoi, Vietnam

    Hai Van Pham

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  1. Philip Moore
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  2. Hai Van Pham
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Correspondence to Philip Moore .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka-shi, Japan

    Leonard Barolli

  2. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  3. Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan

    Nadeem Javaid

  4. Polytechnic University of Tirana, Tirana, Albania

    Evjola Spaho

  5. Polytechnic University of Tirana, Tirana, Albania

    Vladi Kolici

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Moore, P., Van Pham, H. (2018). FOG Computing and Low Latency Context-Aware Health Monitoring in Smart Interconnected Environments. In: Barolli, L., Xhafa, F., Javaid, N., Spaho, E., Kolici, V. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-75928-9_3

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  • DOI: https://doi.org/10.1007/978-3-319-75928-9_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75927-2

  • Online ISBN: 978-3-319-75928-9

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