Abstract
The integration of the internet and the traditional manufacturing industry has identified the “Industrial Internet of Things” (IIoT) as a popular research topic. However, traditional industrial networks continue to face challenges of resource management and limited raw data storage and computation capacity. In this paper, we propose a Software Defined Industrial Network (SDIN) architecture to address the existing drawbacks in IIoT such as resource utilization, data processing and system compatibility. The architecture is developed based on the Software Defined Network (SDN) architecture, combining hierarchical cloud and edge computing technologies. Based on the SDIN architecture, a novel centralized computation offloading strategy in industrial application is proposed. The simulation results confirm that the SDIN architecture is feasible and effective in the application of edge computing.
Supported by Key Program of the National Natural Science Foundation of China (Grant No 61431008) and Project of intelligent manufacturing integrated standardization and new model application.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Xu, F., Ye, H., Cui, S., Zhao, C., Yao, H. (2019). Software Defined Industrial Network: Architecture and Edge Offloading Strategy. In: Liu, X., Cheng, D., Jinfeng, L. (eds) Communications and Networking. ChinaCom 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-030-06161-6_5
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DOI: https://doi.org/10.1007/978-3-030-06161-6_5
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