Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/31160
Title: | SCoTv2: large scale data acquisition, processing, and visualization platform |
Author: | Santiago, Ana Rita Antunes, Mário Barraca, João Paulo Gomes, Diogo Aguiar, Rui L. |
Keywords: | Information systems Data acquisition Data processing Data visualization Big data applications Infrastructure Telecommunication services |
Issue Date: | 2019 |
Publisher: | IEEE |
Abstract: | Internet of Things (IoT) solutions are becoming very popular since everything can now be processed through a technological service. Currently, data is digital information, creating the need to design platforms and services that fill the gap between data sensors and processing frameworks. IoT Platforms are responsible for attaching data sources with the remaining processing architecture. This paper presents a Machine to Machine (M2M) platform able to monitor data acquisition, processing, and visualization. The use of SCoTv2 allows users to integrate several sources and obtain relevant information only by connecting their sensors with the platform. As our preeminent goal is creating a large scale platform useful for several scenarios, a significant part of the study is related to software challenges, and the connection between technologies. Therefore, our principal contribution is the definition of effective architecture able to reply to different use cases. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/31160 |
DOI: | 10.1109/FiCloud.2019.00053 |
Publisher Version: | https://ieeexplore.ieee.org/document/8972819 |
Appears in Collections: | DETI - Capítulo de livro IT - Capítulo de livro |
Files in This Item:
File | Description | Size | Format | |
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scotv2.pdf | 3.39 MB | Adobe PDF | ![]() |
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