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

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