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An Approach of Time Constraint of Data Intensive Scalable in e-Health Environment

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 158))

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Abstract

The increasing use of smart devices connected to the Internet has driven the technological industry and academia to propose applications that allow us to live in a more secure and autonomous way. However, technological advancement has been accompanied by increasingly demanding time requirements, such as fast processing, low latency, and presentation of data within acceptable times. Therefore, we propose in this article a model and computational architecture for a distributed IoT environment with fog computing configuration for a healthcare application. The goal of our proposal is to provide the correct use of specialized tools so that it is possible to indicate a time constraint and thus process and present the data near real-time. We carried out the implementation of the proposed architecture and generated preliminary results that presented reports, through graphs and tables, of the current situation of the assisted user, as well as generating alerts of abnormal situations.

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Acknowledgement

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001.

Author information

Authors and Affiliations

  1. Federal University of Santa Catarina (UFSC), Florianopolis, Brazil

    Eliza Gomes, Rubens Zanatta & Patricia Plentz

  2. State University of Santa Catarina, Florianopolis, Brazil

    Carlos De Rolt

  3. Federal University of Juiz de Fora (UFJF), Juiz de Fora, Brazil

    Mario Dantas

Authors
  1. Eliza Gomes
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  2. Rubens Zanatta
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  3. Patricia Plentz
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  4. Carlos De Rolt
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  5. Mario Dantas
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Corresponding author

Correspondence to Eliza Gomes .

Editor information

Editors and Affiliations

  1. Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Hosei University, Tokyo, Japan

    Makoto Takizawa

  3. Osaka University, Osaka, Japan

    Tomoki Yoshihisa

  4. University of Naples “Federico II”, Napoli, Italy

    Flora Amato

  5. Fukuoka Institute of Technology, Fukuoka, Japan

    Makoto Ikeda

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Gomes, E., Zanatta, R., Plentz, P., De Rolt, C., Dantas, M. (2021). An Approach of Time Constraint of Data Intensive Scalable in e-Health Environment. In: Barolli, L., Takizawa, M., Yoshihisa, T., Amato, F., Ikeda, M. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2020. Lecture Notes in Networks and Systems, vol 158. Springer, Cham. https://doi.org/10.1007/978-3-030-61105-7_16

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  • DOI: https://doi.org/10.1007/978-3-030-61105-7_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61104-0

  • Online ISBN: 978-3-030-61105-7

  • eBook Packages: EngineeringEngineering (R0)

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