中国邮电高校学报(英文版) ›› 2019, Vol. 26 ›› Issue (1): 49-58.

• Networks • 上一篇    下一篇

Software defined industrial network architecture for edge computing offloading

许方敏1,叶桓宇1,崔绍华2,赵成林3,姚海鹏4   

  1. 1. 北京邮电大学
    2. 中国石油技术开发公司
    3. 北京邮电大学信息与通信工程学院
    4. 北京邮电大学无线网络实验室
  • 收稿日期:2018-05-18 修回日期:2018-08-15 出版日期:2019-02-26 发布日期:2019-02-27
  • 通讯作者: 许方敏 E-mail:xufm@bupt.edu.cn
  • 基金资助:
    国家自然科学基金

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

摘要: 互联网与传统制造业的融合使得“工业物联网”(IoT)成为一个热门研究课题。但传统的工业网络仍然面临着来自资源管理,原始数据存储限制和计算能力的挑战。在本文中,我们提出了一种新的软件定义工业网络(SDIN)体系结构来解决IIoT中存在的资源利用,数据处理和存储以及系统兼容性等缺陷。该架构基于软件定义网络(SDN)架构,并结合分层云雾计算和内容感知缓存技术。文中基于SDIN架构,讨论了工业应用中的两种边缘计算策略,并通过考虑不同的场景和服务要求,仿真结果证实了SDIN架构在边缘计算卸载应用中的可行性和有效性。

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

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