Hierarchical Computing Network Collaboration Architecture for Industrial Internet of Things

Zihui Luo, Xiaolong Zheng, Bo Wang, Qifeng Meng, Helei Cui, Xiaobing Guo, Liang Liu

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

The Industrial Internet of Things (IIoT) is deemed a promising direction to drive a new industrial revolution. However, due to the isolation of the existing OT network and IT network, the requirements of low latency, low jitter, and high reliability for transmission and processing of industrial time-sensitive tasks data traffic in IIoT scenarios with strong dynamic and complex topology face a series of non-trivial challenges. In this paper, we propose a hierarchical computing network collaboration architecture for IIoT based on edge/fog computing. Our architecture is built upon the Time-Sensitive Networking (TSN) to flexibly support different requirements of large-scale industrial production applications by constructing the hierarchical computing network collaboration domain, combined with an improved Cyclic Queuing and Forwarding (CQF) scheduling shaper mechanism. We tackle the critical problems of architecture design by presenting three essential components. Moreover, we build and implement our simulation testbed based on Omnet++, and evaluate our design.

源语言英语
主期刊名Proceedings - 2022 IEEE 28th International Conference on Parallel and Distributed Systems, ICPADS 2022
出版商IEEE Computer Society
57-64
页数8
ISBN(电子版)9781665473156
DOI
出版状态已出版 - 2023
活动28th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2022 - Nanjing, 中国
期限: 10 1月 202312 1月 2023

出版系列

姓名Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
2023-January
ISSN(印刷版)1521-9097

会议

会议28th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2022
国家/地区中国
Nanjing
时期10/01/2312/01/23

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