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Comparison of City Performances Through Statistical Linked Data Exploration Read chapter Read first chapter

2018 | OriginalPaper | Chapter

IoT Data Storage in the Cloud: A Case Study in Human Biometeorology

Authors : Brunno Vanelli, A. R. Pinto, Madalena P. da Silva, M. A. R. Dantas, M. Fazio, A. Celesti, M. Villari

Published in: Cloud Infrastructures, Services, and IoT Systems for Smart Cities

Publisher: Springer International Publishing

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Abstract

The IoT (Internet of Things) has emerged to increase the potentiality of pervasive monitoring devices. However, the implementation and integration of IoT devices, data storage and the development of applications are still considered challenging. This paper presents an infrastructure for aggregating and storing data from different sources from IoT devices to the cloud. In order to evaluate the infrastructure regarding the quality in storage, it has been implemented and verified in an AAL (Ambient Assisted Living) case scenario, the main application being Human Biometeorology. The evaluation of metrics related to sending, receiving and storing data demonstrate that the experimental environment is completely reliable and appropriate for the case study in question.

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previous chapter IoT and Big Data: An Architecture with Data Flow and Security Issues
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Metadata
Title
IoT Data Storage in the Cloud: A Case Study in Human Biometeorology
Authors
Brunno Vanelli
A. R. Pinto
Madalena P. da Silva
M. A. R. Dantas
M. Fazio
A. Celesti
M. Villari
Copyright Year
2018
Book
Cloud Infrastructures, Services, and IoT Systems for Smart Cities

Print ISBN: 978-3-319-67635-7

Electronic ISBN: 978-3-319-67636-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-67636-4_26

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