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IIoT Protocols for Edge/Fog and Cloud Computing in Industrial AI: A High Frequency Perspective

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  • Telmo Fernández De Barrena Sarasola

    (Faculty of Engineering, University of Deusto, Mundaitz Kalea, 50, 20012 Donostia- San Sebastian, Spain & Department of Data Intelligence for Energy and Industrial Processes, Fundación Vicomtech, Basque Research and Technology Alliance (BRTA), Mikeletegi 57, 20009 Donostia-San Sebastian, Spain)

  • Ander García

    (Department of Data Intelligence for Energy and Industrial Processes, Fundación Vicomtech, Basque Research and Technology Alliance (BRTA), Mikeletegi 57, 20009 Donostia-San Sebastian, Spain & Faculty of Engineering, University of Deusto, Mundaitz Kalea, 50, 20012 Donostia- San Sebastian, Spain)

  • Juan Luis Ferrando

    (Department of Data Intelligence for Energy and Industrial Processes, Fundación Vicomtech, Basque Research and Technology Alliance (BRTA), Mikeletegi 57, 20009 Donostia-San Sebastian, Spain)

Abstract

Various industrial applications deal with high-frequency data. Traditionally, these systems have analyzed high-frequency data directly on the data source or at the commanding PLC. However, currently, Industry 4.0 technologies support new monitoring scenarios for high-frequency data monitoring where raw data is transmitted in soft-real time to an Edge/Fog or Cloud node for processing, enabling centralized computing. This demands efficient communication protocols capable of handling high-frequency, high-throughput data. This paper focuses on analyzing the performance of key IIoT (Industrial Internet of Things) messaging protocols—AMQP, MQTT, KAFKA, ZeroMQ, and OPCUA—to evaluate their suitability, in terms of latency and jitter, for transmitting high-frequency data within these new scenarios. The analysis reveals MQTT, AMQP, and ZeroMQ as top performers in Edge/Fog computing, while ZeroMQ exhibits the lowest latency and jitter in Cloud computing. Finally, a guideline for protocol selection is proposed, aiding industrial enterprises in protocol selection for specific AI use cases.

Suggested Citation

  • Telmo Fernández De Barrena Sarasola & Ander García & Juan Luis Ferrando, 2024. "IIoT Protocols for Edge/Fog and Cloud Computing in Industrial AI: A High Frequency Perspective," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 14(1), pages 1-30, January.
    • Handle: RePEc:igg:jcac00:v:14:y:2024:i:1:p:1-30
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    References listed on IDEAS

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