The Journal of China Universities of Posts and Telecommunications ›› 2019, Vol. 26 ›› Issue (1): 49-58.

• Networks • Previous Articles     Next Articles

Software defined industrial network architecture for edge computing offloading

  

  • Received:2018-05-18 Revised:2018-08-15 Online:2019-02-26 Published:2019-02-27
  • Contact: Fangmin XU E-mail:xufm@bupt.edu.cn
  • Supported by:
    National Natural Science Foundation of China

Abstract: The integration of the Internet and the traditional manufacturing industry makes 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. A novel software defined industrial network (SDIN) architecture was proposed to address the existing drawbacks in IIoT such as resource utilization, data processing and storage, and system compatibility. The architecture is developed based on the software defined network (SDN) architecture, combining hierarchical cloud and fog computing and content-aware caching technologies. Based on the SDIN architecture, two types of edge computing strategies in industrial applications are discussed. Different scenarios and service requirements are considered. The simulation results confirm that the SDIN architecture is feasible and effective in the application of edge computing offloading

Key words: software defined industrial network (SDIN), industrial Internet of things (IIoT), edge computing, computing offloading, time delay