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Software Defined Industrial Network: Architecture and Edge Offloading Strategy

  • Fangmin Xu
  • Huanyu YeEmail author
  • Shaohua Cui
  • Chenglin Zhao
  • Haipeng Yao
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 262)

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.

Keywords

Software defined industrial network Industrial internet of things Edge computing Computing offloading Time delay 

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Fangmin Xu
    • 1
  • Huanyu Ye
    • 1
    Email author
  • Shaohua Cui
    • 2
  • Chenglin Zhao
    • 1
  • Haipeng Yao
    • 1
  1. 1.Key Laboratory of Universal Wireless Communications, Ministry of EducationBeijing University of Posts and TelecommunicationsBeijingChina
  2. 2.China Petroleum Technology and Development Corporation (CPTDC)BeijingChina

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