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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/4/1309 |
| _version_ | 1797396796599697408 |
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| author | Massimo Vecchio Paolo Azzoni Andreas Menychtas Ilias Maglogiannis Alexander Felfernig |
| author_facet | Massimo Vecchio Paolo Azzoni Andreas Menychtas Ilias Maglogiannis Alexander Felfernig |
| author_sort | Massimo Vecchio |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T00:56:43Z |
| format | Article |
| id | doaj.art-907085e7a0dc43ef858b9609df3ed674 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T00:56:43Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-907085e7a0dc43ef858b9609df3ed6742023-12-11T16:50:43ZengMDPI AGSensors1424-82202021-02-01214130910.3390/s21041309A Fully Open-Source Approach to Intelligent Edge Computing: AGILE’s LessonMassimo Vecchio0Paolo Azzoni1Andreas Menychtas2Ilias Maglogiannis3Alexander Felfernig4OpenIoT Research Unit, Fondazione Bruno Kessler, 38123 Trento, ItalyEurotech Group, 33020 Amaro, ItalyBioAssist S.A., 11524 Athens, GreeceDepartment of Digital Systems, University of Piraeus, 18534 Piraeus, GreeceInstitute of Software Technology, Graz University of Technology, 8010 Graz, AustriaIn 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.https://www.mdpi.com/1424-8220/21/4/1309modular approachIoTedge computingopen sourceopen hardwareknowledge-based configuration |
| spellingShingle | Massimo Vecchio Paolo Azzoni Andreas Menychtas Ilias Maglogiannis Alexander Felfernig A Fully Open-Source Approach to Intelligent Edge Computing: AGILE’s Lesson Sensors modular approach IoT edge computing open source open hardware knowledge-based configuration |
| 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 | modular approach IoT edge computing open source open hardware knowledge-based configuration |
| url | https://www.mdpi.com/1424-8220/21/4/1309 |
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