期刊论文详细信息
Sensors
Achieving Low Latency Communications in Smart Industrial Networks with Programmable Data Planes
David Franco1  Jorge Sasiain1  Jasone Astorga1  Eduardo Jacob1  Asier Atutxa1 
[1] Department of Communications Engineering, Faculty of Engineering, University of the Basque Country UPV/EHU, Alda. Urquijo S/N, 48013 Bilbao, Spain;
关键词: P4;    data plane programming;    IoT;    industrial communications;    time-critical;   
DOI  :  10.3390/s21155199
来源: DOAJ
【 摘 要 】

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.

【 授权许可】

Unknown   

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