<sans-serif>IoT Helper</sans-serif>: A Lightweight and Extensible Framework for Fast-Prototyping IoT Architectures

Industry 4.0 is focused on the task of creating Smart Factories, which require the automation of traditional industrial processes and the fully connection and integration of different systems and devices. However, despite the wide availability of tools and technology, developing intelligent applicat...

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Main Authors: Giansalvatore Mecca, Michele Santomauro, Donatello Santoro, Enzo Veltri
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/20/9670
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author Giansalvatore Mecca
Michele Santomauro
Donatello Santoro
Enzo Veltri
author_facet Giansalvatore Mecca
Michele Santomauro
Donatello Santoro
Enzo Veltri
author_sort Giansalvatore Mecca
collection DOAJ
description Industry 4.0 is focused on the task of creating Smart Factories, which require the automation of traditional industrial processes and the fully connection and integration of different systems and devices. However, despite the wide availability of tools and technology, developing intelligent applications in the industry framework remains a complex and expensive task. This paper proposes a lightweight, extensible and scalable framework called IoT Helper to facilitate the adoption of IoT and IIoT solutions both in industry and domotics. The framework is designed to be highly flexible and declarative in nature, thus allowing for a wide range of configurations with minimal user efforts. To emphasize the practical applicability or our proposal, we present two real-life use cases where the framework was successfully adopted. We also investigate a crucial aspect of these applications, i.e., what level of scalability can be achieved with a lean generic framework based on inexpensive components such as ours. Comprehensive experimental results show the excellent cost-to-performance ratio of our solution. We consider this to be an important contribution because it paves the way for a more widespread adoption of IIoT-enabling technologies in industry.
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spelling doaj.art-078025f773384cc9ae024b3053071c9b2023-11-22T17:22:29ZengMDPI AGApplied Sciences2076-34172021-10-011120967010.3390/app11209670<sans-serif>IoT Helper</sans-serif>: A Lightweight and Extensible Framework for Fast-Prototyping IoT ArchitecturesGiansalvatore Mecca0Michele Santomauro1Donatello Santoro2Enzo Veltri3Dipartimento di Matematica, Informatica ed Economia, Università Degli Studi Della Basilicata, 85100 Potenza, ItalyDipartimento di Matematica, Informatica ed Economia, Università Degli Studi Della Basilicata, 85100 Potenza, ItalyDipartimento di Matematica, Informatica ed Economia, Università Degli Studi Della Basilicata, 85100 Potenza, ItalyDipartimento di Matematica, Informatica ed Economia, Università Degli Studi Della Basilicata, 85100 Potenza, ItalyIndustry 4.0 is focused on the task of creating Smart Factories, which require the automation of traditional industrial processes and the fully connection and integration of different systems and devices. However, despite the wide availability of tools and technology, developing intelligent applications in the industry framework remains a complex and expensive task. This paper proposes a lightweight, extensible and scalable framework called IoT Helper to facilitate the adoption of IoT and IIoT solutions both in industry and domotics. The framework is designed to be highly flexible and declarative in nature, thus allowing for a wide range of configurations with minimal user efforts. To emphasize the practical applicability or our proposal, we present two real-life use cases where the framework was successfully adopted. We also investigate a crucial aspect of these applications, i.e., what level of scalability can be achieved with a lean generic framework based on inexpensive components such as ours. Comprehensive experimental results show the excellent cost-to-performance ratio of our solution. We consider this to be an important contribution because it paves the way for a more widespread adoption of IIoT-enabling technologies in industry.https://www.mdpi.com/2076-3417/11/20/9670embedded-system controledge computingInternet of Thingsopen-source softwaresmart manufacturing
spellingShingle Giansalvatore Mecca
Michele Santomauro
Donatello Santoro
Enzo Veltri
<sans-serif>IoT Helper</sans-serif>: A Lightweight and Extensible Framework for Fast-Prototyping IoT Architectures
Applied Sciences
embedded-system control
edge computing
Internet of Things
open-source software
smart manufacturing
title <sans-serif>IoT Helper</sans-serif>: A Lightweight and Extensible Framework for Fast-Prototyping IoT Architectures
title_full <sans-serif>IoT Helper</sans-serif>: A Lightweight and Extensible Framework for Fast-Prototyping IoT Architectures
title_fullStr <sans-serif>IoT Helper</sans-serif>: A Lightweight and Extensible Framework for Fast-Prototyping IoT Architectures
title_full_unstemmed <sans-serif>IoT Helper</sans-serif>: A Lightweight and Extensible Framework for Fast-Prototyping IoT Architectures
title_short <sans-serif>IoT Helper</sans-serif>: A Lightweight and Extensible Framework for Fast-Prototyping IoT Architectures
title_sort sans serif iot helper sans serif a lightweight and extensible framework for fast prototyping iot architectures
topic embedded-system control
edge computing
Internet of Things
open-source software
smart manufacturing
url https://www.mdpi.com/2076-3417/11/20/9670
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