Edge enabled Industrial Internet of Things (IIoT) platform is of great significance to accelerate the development of smart industry. However, with the dramatic increase in real-time IIoT applications, it is a great challenge to support fast response time, low latency, and efficient bandwidth utilization. To address this issue, Time Sensitive Network (TSN) is recently researched to realize low latency communication via deterministic scheduling. To the best of our knowledge, the combinability of multiple flows, which can significantly affect the scheduling performance, has never been systematically analyzed before. In this article, we first analyze the combinability problem. Then a non-collision theory based deterministic scheduling (NDS) method is proposed to achieve ultra-low latency communication for the time-sensitive flows. Moreover, to improve bandwidth utilization, a dynamic queue scheduling (DQS) method is presented for the best-effort flows. Experiment results demonstrate that NDS/DQS can well support deterministic ultra-low latency services and guarantee efficient bandwidth utilization.
翻译:智能行业的智能产业互联网平台(IIoT)对于加速智能产业的发展具有重要意义,然而,随着实时IIoT应用的大幅增长,支持快速响应时间、低潜值和高效带宽利用是一项巨大的挑战。为了解决这一问题,最近对时间敏感网络(TSN)进行了研究,以便通过确定性时间安排实现低延时通信。根据我们的最佳知识,从未对多种流动的可互连性进行过系统分析。在本篇文章中,我们首先分析了可互连性问题。然后提出了基于非循环理论的确定性排期方法,以在时间敏感流动中实现超低延时通信。此外,为了改进带宽利用率,还提出了最高效流动的动态排队安排方法。实验结果显示,NDS/DQS能够很好地支持确定性超低悬浮度服务并保障高效的带宽频利用。