Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/33124
Title: | Building an IoT platform based on service containerisation |
Author: | Antunes, Mário Santiago, Ana Rita Manso, Sérgio Regateiro, Diogo Barraca, João Paulo Gomes, Diogo Aguiar, Rui L |
Keywords: | Platform virtualisation Internet of Things Ambient intelligence |
Issue Date: | 1-Oct-2021 |
Publisher: | MDPI |
Abstract: | IoT platforms have become quite complex from a technical viewpoint, becoming the cornerstone for information sharing, storing, and indexing given the unprecedented scale of smart services being available by massive deployments of a large set of data-enabled devices. These platforms rely on structured formats that exploit standard technologies to deal with the gathered data, thus creating the need for carefully designed customised systems that can handle thousands of heterogeneous data sensors/actuators, multiple processing frameworks, and storage solutions. We present the SCoT2.0 platform, a generic-purpose IoT Platform that can acquire, process, and visualise data using methods adequate for both real-time processing and long-term Machine Learning (ML)-based analysis. Our goal is to develop a large-scale system that can be applied to multiple real-world scenarios and is potentially deployable on private clouds for multiple verticals. Our approach relies on extensive service containerisation, and we present the different design choices, technical challenges, and solutions found while building our own IoT platform. We validate this platform supporting two very distinct IoT projects (750 physical devices), and we analyse scaling issues within the platform components. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/33124 |
DOI: | 10.3390/s21196688 |
Appears in Collections: | DETI - Artigos IT - Artigos |
Files in This Item:
File | Description | Size | Format | |
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sensors-21-06688-v2.pdf | 1.37 MB | Adobe PDF | View/Open |
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