IIoT protocols for Edge/Fog and Cloud computing in industrial AI: a high frequency perspective
dc.contributor.author | Fernández de Barrena Sarasola, Telmo | |
dc.contributor.author | García Gangoiti, Ander | |
dc.contributor.author | Ferrando, Juan Luis | |
dc.date.accessioned | 2025-02-26T10:23:43Z | |
dc.date.available | 2025-02-26T10:23:43Z | |
dc.date.issued | 2024 | |
dc.date.updated | 2025-02-26T10:23:42Z | |
dc.description.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. | en |
dc.description.sponsorship | This research was partially funded by the Department of Industry of the Basque Government within Elkartek programs (KK-2022/00119 and KK-2023/00038) | |
dc.identifier.citation | De Barrena Sarasola, T. F., García, A., & Ferrando, J. L. (2024). IIoT Protocols for Edge/Fog and Cloud Computing in Industrial AI: A High Frequency Perspective. International Journal of Cloud Applications and Computing, 14(1), 1-30. https://doi.org/10.4018/IJCAC.342128 | |
dc.identifier.doi | 10.4018/IJCAC.342128 | |
dc.identifier.eissn | 2156-1826 | |
dc.identifier.issn | 2156-1834 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14454/2381 | |
dc.language.iso | eng | |
dc.publisher | IGI Global | |
dc.subject.other | Cloud computing | |
dc.subject.other | Edge/Fog computing | |
dc.subject.other | High frequency signals | |
dc.subject.other | IIoT protocols | |
dc.subject.other | Industry 4.0 | |
dc.title | IIoT protocols for Edge/Fog and Cloud computing in industrial AI: a high frequency perspective | en |
dc.type | journal article | |
dcterms.accessRights | open access | |
oaire.citation.endPage | 30 | |
oaire.citation.issue | 1 | |
oaire.citation.startPage | 1 | |
oaire.citation.title | International Journal of Cloud Applications and Computing | |
oaire.citation.volume | 14 | |
oaire.licenseCondition | https://creativecommons.org/licenses/by/4.0/ | |
oaire.version | VoR |
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