IIoT Protocols for Edge/Fog and Cloud Computing in Industrial AI-Reference-Cited by-同舟云学术

IIoT Protocols for Edge/Fog and Cloud Computing in Industrial AI

Published:2024-04-26 Issue:1 Volume:14 Page:1-30
ISSN:2156-1834
Container-title:International Journal of Cloud Applications and Computing
language:ng
Short-container-title:

Author:

Sarasola Telmo Fernández De Barrena¹^ORCID,García Ander²,Ferrando Juan Luis³

Affiliation:

1. 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

2. 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

3. 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.

Publisher

IGI Global

Reference33 articles.

1. A Comprehensive Survey of the Internet of Things (IoT) and AI-Based Smart Healthcare

2. Apache Software Foundation. (2023). Apache Kafka. https//:kafka.apache.org

3. AQMP. (2023). AQMP.is the internet protocol for business messaging. https://www.amqp.org/about/what

4. A survey on communication protocols and performance evaluations for Internet of Things

5. Study of Internet-of-Things Messaging Protocols Used for Exchanging Data with External Sources