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Edge Computing Architectures in Industry 4.0: A General Survey and Comparison

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14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) (SOCO 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 950))

Abstract

Edge Computing represents the computing and networking tasks that IoT (Internet of Things) devices perform at the Edge of the network in communication with the remote Cloud. In this sense, recent researches try to demonstrate that Edge Computing architectures represent optimal solutions in order to minimize latency, improve privacy and reduce bandwidth and related costs in IoT-based scenarios, such as Smart Cities, Smart Energy, Smart Farming or Industry 4.0. This work is a review of the main existing Edge Computing reference architectures aimed at Industry 4.0 proposed by the Edge Computing Consortium, the FAR-Edge Project and the Industrial Internet Consortium for Industry 4.0. This paper includes a comparison among these reference architectures, as well as their most important features in order to build a new Edge Computing Reference Architecture as future work.

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Acknowledgements

This work was developed as part of the project “Virtual-Ledgers: Tecnologías DLT/Blockchain y Cripto-IOT sobre organizaciones virtuales de agentes ligeros y su aplicación en la eficiencia en el transporte de última milla”, ID SA267P18, project co-financed by Junta de Castilla y León, Consejería de Educación (Ministry of Education of the Government of Castile and León, Spain), and FEDER funds. Inés Sittón has been supported by IFARHU – SENACYT scholarship program (Government of Panama).

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Authors and Affiliations

  1. IoT Digital Innovation HUB, University of Salamanca, Salamanca, Spain

    Inés Sittón-Candanedo, Ricardo S. Alonso, Sara Rodríguez-González, José Alberto García Coria & Fernando De La Prieta

Authors
  1. Inés Sittón-Candanedo
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  2. Ricardo S. Alonso
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  3. Sara Rodríguez-González
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  4. José Alberto García Coria
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  5. Fernando De La Prieta
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Corresponding author

Correspondence to Inés Sittón-Candanedo .

Editor information

Editors and Affiliations

  1. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Francisco Martínez Álvarez

  2. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Alicia Troncoso Lora

  3. University of Salamanca, Salamanca, Spain

    José António Sáez Muñoz

  4. Department of Industrial Engineering, University of A Coruña, A Coruña, Spain

    Héctor Quintián

  5. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Sittón-Candanedo, I., Alonso, R.S., Rodríguez-González, S., García Coria, J.A., De La Prieta, F. (2020). Edge Computing Architectures in Industry 4.0: A General Survey and Comparison. In: Martínez Álvarez, F., Troncoso Lora, A., Sáez Muñoz, J., Quintián, H., Corchado, E. (eds) 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019). SOCO 2019. Advances in Intelligent Systems and Computing, vol 950. Springer, Cham. https://doi.org/10.1007/978-3-030-20055-8_12

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