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Achieving Low Latency Communications in Smart Industrial Networks with Programmable Data Planes
Industrial networks are introducing Internet of Things (IoT) technologies in their manufacturing processes in order to enhance existing methods and obtain smarter, greener and more effective processes. Global predictions forecast a massive widespread of IoT technology in industrial sectors in the ne...
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/PMC8347590/ https://www.ncbi.nlm.nih.gov/pubmed/34372438 http://dx.doi.org/10.3390/s21155199 |
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author | Atutxa, Asier Franco, David Sasiain, Jorge Astorga, Jasone Jacob, Eduardo |
author_facet | Atutxa, Asier Franco, David Sasiain, Jorge Astorga, Jasone Jacob, Eduardo |
author_sort | Atutxa, Asier |
collection | PubMed |
description | Industrial networks are introducing Internet of Things (IoT) technologies in their manufacturing processes in order to enhance existing methods and obtain smarter, greener and more effective processes. Global predictions forecast a massive widespread of IoT technology in industrial sectors in the near future. However, these innovations face several challenges, such as achieving short response times in case of time-critical applications. Concepts like in-network computing or edge computing can provide adequate communication quality for these industrial environments, and data plane programming has been proved as a useful mechanism for their implementation. Specifically, P4 language is used for the definition of the behavior of programmable switches and network elements. This paper presents a solution for industrial IoT (IIoT) network communications to reduce response times using in-network computing through data plane programming and P4. Our solution processes Message Queuing Telemetry Transport (MQTT) packets sent by a sensor in the data plane and generates an alarm in case of exceeding a threshold in the measured value. The implementation has been tested in an experimental facility, using a Netronome SmartNIC as a P4 programmable network device. Response times are reduced by 74% while processing, and delay introduced by the P4 network processing is insignificant. |
format | Online Article Text |
id | pubmed-8347590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83475902021-08-08 Achieving Low Latency Communications in Smart Industrial Networks with Programmable Data Planes Atutxa, Asier Franco, David Sasiain, Jorge Astorga, Jasone Jacob, Eduardo Sensors (Basel) Article Industrial networks are introducing Internet of Things (IoT) technologies in their manufacturing processes in order to enhance existing methods and obtain smarter, greener and more effective processes. Global predictions forecast a massive widespread of IoT technology in industrial sectors in the near future. However, these innovations face several challenges, such as achieving short response times in case of time-critical applications. Concepts like in-network computing or edge computing can provide adequate communication quality for these industrial environments, and data plane programming has been proved as a useful mechanism for their implementation. Specifically, P4 language is used for the definition of the behavior of programmable switches and network elements. This paper presents a solution for industrial IoT (IIoT) network communications to reduce response times using in-network computing through data plane programming and P4. Our solution processes Message Queuing Telemetry Transport (MQTT) packets sent by a sensor in the data plane and generates an alarm in case of exceeding a threshold in the measured value. The implementation has been tested in an experimental facility, using a Netronome SmartNIC as a P4 programmable network device. Response times are reduced by 74% while processing, and delay introduced by the P4 network processing is insignificant. MDPI 2021-07-31 /pmc/articles/PMC8347590/ /pubmed/34372438 http://dx.doi.org/10.3390/s21155199 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Atutxa, Asier Franco, David Sasiain, Jorge Astorga, Jasone Jacob, Eduardo Achieving Low Latency Communications in Smart Industrial Networks with Programmable Data Planes |
title | Achieving Low Latency Communications in Smart Industrial Networks with Programmable Data Planes |
title_full | Achieving Low Latency Communications in Smart Industrial Networks with Programmable Data Planes |
title_fullStr | Achieving Low Latency Communications in Smart Industrial Networks with Programmable Data Planes |
title_full_unstemmed | Achieving Low Latency Communications in Smart Industrial Networks with Programmable Data Planes |
title_short | Achieving Low Latency Communications in Smart Industrial Networks with Programmable Data Planes |
title_sort | achieving low latency communications in smart industrial networks with programmable data planes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347590/ https://www.ncbi.nlm.nih.gov/pubmed/34372438 http://dx.doi.org/10.3390/s21155199 |
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