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A Fully Open-Source Approach to Intelligent Edge Computing: AGILE’s Lesson
In this paper, we describe the main outcomes of AGILE (acronym for “Adaptive Gateways for dIverse muLtiple Environments”), an EU-funded project that recently delivered a modular hardware and software framework conceived to address the fragmented market of embedded, multi-service, adaptive gateways f...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918801/ https://www.ncbi.nlm.nih.gov/pubmed/33673065 http://dx.doi.org/10.3390/s21041309 |
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author | Vecchio, Massimo Azzoni, Paolo Menychtas, Andreas Maglogiannis, Ilias Felfernig, Alexander |
author_facet | Vecchio, Massimo Azzoni, Paolo Menychtas, Andreas Maglogiannis, Ilias Felfernig, Alexander |
author_sort | Vecchio, Massimo |
collection | PubMed |
description | In this paper, we describe the main outcomes of AGILE (acronym for “Adaptive Gateways for dIverse muLtiple Environments”), an EU-funded project that recently delivered a modular hardware and software framework conceived to address the fragmented market of embedded, multi-service, adaptive gateways for the Internet of Things (IoT). Its main goal is to provide a low-cost solution capable of supporting proof-of-concept implementations and rapid prototyping methodologies for both consumer and industrial IoT markets. AGILE allows developers to implement and deliver a complete (software and hardware) IoT solution for managing non-IP IoT devices through a multi-service gateway. Moreover, it simplifies the access of startups to the IoT market, not only providing an efficient and cost-effective solution for industries but also allowing end-users to customize and extend it according to their specific requirements. This flexibility is the result of the joint experience of established organizations in the project consortium already promoting the principles of openness, both at the software and hardware levels. We illustrate how the AGILE framework can provide a cost-effective yet solid and highly customizable, technological foundation supporting the configuration, deployment, and assessment of two distinct showcases, namely a quantified self application for individual consumers, and an air pollution monitoring station for industrial settings. |
format | Online Article Text |
id | pubmed-7918801 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79188012021-03-02 A Fully Open-Source Approach to Intelligent Edge Computing: AGILE’s Lesson Vecchio, Massimo Azzoni, Paolo Menychtas, Andreas Maglogiannis, Ilias Felfernig, Alexander Sensors (Basel) Article In this paper, we describe the main outcomes of AGILE (acronym for “Adaptive Gateways for dIverse muLtiple Environments”), an EU-funded project that recently delivered a modular hardware and software framework conceived to address the fragmented market of embedded, multi-service, adaptive gateways for the Internet of Things (IoT). Its main goal is to provide a low-cost solution capable of supporting proof-of-concept implementations and rapid prototyping methodologies for both consumer and industrial IoT markets. AGILE allows developers to implement and deliver a complete (software and hardware) IoT solution for managing non-IP IoT devices through a multi-service gateway. Moreover, it simplifies the access of startups to the IoT market, not only providing an efficient and cost-effective solution for industries but also allowing end-users to customize and extend it according to their specific requirements. This flexibility is the result of the joint experience of established organizations in the project consortium already promoting the principles of openness, both at the software and hardware levels. We illustrate how the AGILE framework can provide a cost-effective yet solid and highly customizable, technological foundation supporting the configuration, deployment, and assessment of two distinct showcases, namely a quantified self application for individual consumers, and an air pollution monitoring station for industrial settings. MDPI 2021-02-12 /pmc/articles/PMC7918801/ /pubmed/33673065 http://dx.doi.org/10.3390/s21041309 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Vecchio, Massimo Azzoni, Paolo Menychtas, Andreas Maglogiannis, Ilias Felfernig, Alexander A Fully Open-Source Approach to Intelligent Edge Computing: AGILE’s Lesson |
title | A Fully Open-Source Approach to Intelligent Edge Computing: AGILE’s Lesson |
title_full | A Fully Open-Source Approach to Intelligent Edge Computing: AGILE’s Lesson |
title_fullStr | A Fully Open-Source Approach to Intelligent Edge Computing: AGILE’s Lesson |
title_full_unstemmed | A Fully Open-Source Approach to Intelligent Edge Computing: AGILE’s Lesson |
title_short | A Fully Open-Source Approach to Intelligent Edge Computing: AGILE’s Lesson |
title_sort | fully open-source approach to intelligent edge computing: agile’s lesson |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918801/ https://www.ncbi.nlm.nih.gov/pubmed/33673065 http://dx.doi.org/10.3390/s21041309 |
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