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Science and Technologies for Smart Cities. 6th EAI International Conference, SmartCity360°, Virtual Event, December 2-4, 2020, Proceedings

Research Article

Technologies for Industrial Internet of Things (IIoT): Guidelines for Edge Computing Adoption in the Industry

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  • @INPROCEEDINGS{10.1007/978-3-030-76063-2_19,
        author={Ralf Luis de Moura and Tiago Monteiro Brasil and Ludmilla Bassini Werner and Claudio Jos\^{e} Barcelos Dal’ Col and Alexandre Gonzalez and Sajjad Quadri},
        title={Technologies for Industrial Internet of Things (IIoT): Guidelines for Edge Computing Adoption in the Industry},
        proceedings={Science and Technologies for Smart Cities. 6th EAI International Conference, SmartCity360°, Virtual Event, December 2-4, 2020, Proceedings},
        proceedings_a={SMARTCITY},
        year={2021},
        month={5},
        keywords={Edge computing Guidelines Taxonomy Industrial Internet of Things},
        doi={10.1007/978-3-030-76063-2_19}
    }
    
  • Ralf Luis de Moura
    Tiago Monteiro Brasil
    Ludmilla Bassini Werner
    Claudio José Barcelos Dal’ Col
    Alexandre Gonzalez
    Sajjad Quadri
    Year: 2021
    Technologies for Industrial Internet of Things (IIoT): Guidelines for Edge Computing Adoption in the Industry
    SMARTCITY
    Springer
    DOI: 10.1007/978-3-030-76063-2_19
Ralf Luis de Moura1,*, Tiago Monteiro Brasil1, Ludmilla Bassini Werner1, Claudio José Barcelos Dal’ Col1, Alexandre Gonzalez1, Sajjad Quadri1
  • 1: Vale S.A.
*Contact email: ralf.moura@vale.com

Abstract

The industrial sector is reinventing itself to find improved production processes. Industry 4.0 brings opportunities for growth productivity with the IIoT. There is a range of IIoT-related technologies to manage vast volumes of data that should be stored and processed for the decision-making process. Cloud computing is a reliable option for remote storage and data processing. However, in situations where the requirement is response time, intermittent connectivity, and low latency, edge computing processing is a more suitable option. Any device with computational resources can implement an edge computing capability with functions like gateway and data aggregator capabilities. These devices need to be classified to avoid an uncontrolled proliferation of appliances in the enterprise’s environment, which easily create cybersecurity vulnerabilities and transform device management into chaos. This study proposes a taxonomy for edge computing and defines industrial application guidelines as a strategy to facilitate their sustainable implementation.

Keywords
Edge computing Guidelines Taxonomy Industrial Internet of Things
Published
2021-05-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-76063-2_19
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