Software defined industrial network architecture for edge computing offloading

作     者：Xu Fangmin Ye Huanyu Cui Shaohua Zhao Chenglin Yao Haipeng 

作者机构：School of Telecommunication EngineeringBeijing University of Posts and Telecommunications China Petroleum Technology and Development Corporation 

出 版 物：《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报（英文版）)

年 卷 期：2019年第26卷第1期

页      面：49-58页

核心收录：

学科分类：0810[工学-信息与通信工程] 1205[管理学-图书情报与档案管理] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0839[工学-网络空间安全] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the Key Program of the National Natural Science Foundation of China(61431008) the Project of Intelligent Manufacturing Integrated Standardization and New Model Application 

主　　题：software defined industrial network(SDIN) industrial Internet of things(IIoT) edge computing computing offloading time delay 

摘      要：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.