An Approach of Time Constraint of Data Intensive Scalable in e-Health Environment
Autor: | Carlos Roberto De Rolt, Patricia Della Mea Plentz, Eliza Gomes, Mario A. R. Dantas, Rubens Zanatta |
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Rok vydání: | 2020 |
Předmět: | |
Zdroj: | Advances on P2P, Parallel, Grid, Cloud and Internet Computing ISBN: 9783030611040 3PGCIC |
DOI: | 10.1007/978-3-030-61105-7_16 |
Popis: | 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. |
Databáze: | OpenAIRE |
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