Software Defined Industrial Network: Architecture and Edge Offloading Strategy

Xu, Fangmin; Ye, Huanyu; Cui, Shujie; Zhao, Chenglin; Hu, Yao

doi:10.1007/978-3-030-06161-6_5

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…In [ 62 ], an industrial network architecture defined by software and based on an SDN architecture is proposed, integrating edge and cloud computing technologies as well.…”

Section: Use Of Sdn In Iiotmentioning

confidence: 99%

Software-Defined Networking Solutions, Architecture and Controllers for the Industrial Internet of Things: A Review

Urrea

Benítez

2021

Sensors

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The use of Software-Defined Networking (SDN) in the communications of the Industrial Internet of Things (IIoT) demands more comprehensive solutions than those developed to date. The lack of an SDN solution applicable in diverse IIoT scenarios is the problem addressed in this article. The main cause of this problem is the lack of integration of a set of aspects that should be considered in a comprehensive SDN solution. To contribute to the solution of this problem, a review of the literature is conducted in this article, identifying the main requirements for industrial networks nowadays as well as their solutions through SDN. This review indicates that aspects such as security, independence of the network technology used, and network centralized management can be tackled using SDN. All the advantages of this technology can be obtained through the implementation of the same solution, considering a set of aspects proposed by the authors for the implementation of SDNs in IIoT networks. Additionally, after analyzing the main features and advantages of several architectures proposed in the literature, an architecture with distributed network control is proposed for all SDN network scenarios in IIoT. This architecture can be adapted through the inclusion of other necessary elements in specific scenarios. The distributed network control feature is relevant here, as it prevents a single fault-point for an entire industrial network, in exchange for adding some complexity to the network. Finally, the first ideas for the selection of an SDN controller suitable for IIoT scenarios are included, as this is the core element in the proposed architecture. The initial proposal includes the identification of six controllers, which correspond to different types of control planes, and ten characteristics are defined for selecting the most suitable controller through the Analytic Hierarchy Process (AHP) method. The analysis and proposal of different fundamental aspects for the implementation of SDNs in IIoT in this article contribute to the development of a comprehensive solution that is not focused on the characteristics of a specific scenario and would, therefore, be applicable in limited situations.

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“…In [ 62 ], an industrial network architecture defined by software and based on an SDN architecture is proposed, integrating edge and cloud computing technologies as well.…”

Section: Use Of Sdn In Iiotmentioning

confidence: 99%

Software-Defined Networking Solutions, Architecture and Controllers for the Industrial Internet of Things: A Review

Urrea

Benítez

2021

Sensors

View full text Add to dashboard Cite

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Possible Applications of Edge Computing in the Manufacturing Industry—Systematic Literature Review

Kubiak

Dec

Stadnicka

2022

Sensors

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This article presents the results of research with the main goal of identifying possible applications of edge computing (EC) in industry. This study used the methodology of systematic literature review and text mining analysis. The main findings showed that the primary goal of EC is to reduce the time required to transfer large amounts of data. With the ability to analyze data at the edge, it is possible to obtain immediate feedback and use it in the decision-making process. However, the implementation of EC requires investments not only in infrastructure, but also in the development of employee knowledge related to modern computing methods based on artificial intelligence. As the results of the analyses showed, great importance is also attached to energy consumption, both in ongoing production processes and for the purposes of data transmission and analysis. This paper also highlights problems related to quality management. Based on the analyses, we indicate further research directions for the application of edge computing and associated technologies that are required in the area of intelligent resource scheduling (for flexible production systems and autonomous systems), anomaly detection and resulting decision making, data analysis and transfer, knowledge management (for smart designing), and simulations (for autonomous systems).

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Software Defined Industrial Network: Architecture and Edge Offloading Strategy

Cited by 2 publications

References 8 publications

Software-Defined Networking Solutions, Architecture and Controllers for the Industrial Internet of Things: A Review

Software-Defined Networking Solutions, Architecture and Controllers for the Industrial Internet of Things: A Review

Possible Applications of Edge Computing in the Manufacturing Industry—Systematic Literature Review

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