Software Defined Industrial Network: Architecture and Edge Offloading Strategy
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.
KeywordsSoftware defined industrial network Industrial internet of things Edge computing Computing offloading Time delay
- 1.Schweissguth, E., Danielis, P., Niemann, C., Timmermann, D.: Application-aware industrial ethernet based on an SDN-supported TDMA approach. In: 2016 IEEE World Conference on Factory Communication Systems (WFCS), Aveiro, Portugal (2016)Google Scholar
- 2.Aggarwal, C., Srivastava, K.: Securing IoT devices using SDN and edge computing. In: 2016 2nd International Conference on Next Generation Computing Technologies (NGCT), Dehradun, India (2016)Google Scholar
- 8.Miettinen, A.P., Nurminen, J.K.: Energy efficiency of mobile clients in cloud computing. HotCloud 10, 4–4 (2010)Google Scholar
- 9.Li, M., Richard Yu, F., Si, P., Yao, H.: Energy-efficient M2M communications with mobile edge computing in virtualized cellular networks. In: 2017 IEEE International Conference on Communications (ICC), Paris, France (2017)Google Scholar