Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/31160
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Santiago, Ana Rita | pt_PT |
dc.contributor.author | Antunes, Mário | pt_PT |
dc.contributor.author | Barraca, João Paulo | pt_PT |
dc.contributor.author | Gomes, Diogo | pt_PT |
dc.contributor.author | Aguiar, Rui L. | pt_PT |
dc.date.accessioned | 2021-04-12T17:41:40Z | - |
dc.date.available | 2021-04-12T17:41:40Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | http://hdl.handle.net/10773/31160 | - |
dc.description.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. | pt_PT |
dc.language.iso | eng | pt_PT |
dc.publisher | IEEE | pt_PT |
dc.relation | POCI-01-0247-FEDER-007678 | pt_PT |
dc.rights | restrictedAccess | pt_PT |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Information systems | pt_PT |
dc.subject | Data acquisition | pt_PT |
dc.subject | Data processing | pt_PT |
dc.subject | Data visualization | pt_PT |
dc.subject | Big data applications | pt_PT |
dc.subject | Infrastructure | pt_PT |
dc.subject | Telecommunication services | pt_PT |
dc.title | SCoTv2: large scale data acquisition, processing, and visualization platform | pt_PT |
dc.type | bookPart | pt_PT |
dc.description.version | published | pt_PT |
dc.peerreviewed | yes | pt_PT |
ua.event.date | 26-28 August, 2019 | pt_PT |
degois.publication.firstPage | 318 | pt_PT |
degois.publication.lastPage | 323 | pt_PT |
degois.publication.title | 2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) | pt_PT |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8972819 | pt_PT |
dc.identifier.doi | 10.1109/FiCloud.2019.00053 | pt_PT |
dc.identifier.esbn | 978-1-7281-2888-7 | - |
Appears in Collections: | DETI - Capítulo de livro IT - Capítulo de livro |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
scotv2.pdf | 3.39 MB | Adobe PDF |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.