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

@Article {
title = {IIoT Protocols for Edge/Fog and Cloud Computing in Industrial AI: A High Frequency Perspective},
journal = {International Journal of Cloud Applications and Computing},
pages = {1-30},
volume = {14},
keywds = {
Cloud Computing; Edge/Fog Computing; High Frequency Signals; IIoT Protocols; Industry 4.0
}
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.

}
doi = {10.4018/IJCAC.342128},
date = {2024-01-01},
}