基于时间感知Shaper的自适应调度算法

Haisheng Wang, Zixuan Zhao, Jian Wei
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引用次数: 2

摘要

目前,时敏网络在自动驾驶、工业4.0、5G等领域受到了广泛关注。TSN用于保证有界延迟关键流量的实时传输,通过多种流量调度机制实现。其中一个重要的研究机制是时间感知塑造机制,但目前对该机制的研究通常存在以下问题:(a)算法求解时间长;(b)突发流量难以调度,算法依赖于时间同步;(c)存在带宽浪费。TAS机制的核心思想是时分复用,传输时间的求解是交通调度的关键。针对上述问题,本文提出了一种基于TAS的自适应调度算法。首先,将实际交通的最坏情况调度问题看作连续交通的调度问题,分析了最坏情况下连续交通的传输时间;其次,提出队列调度的概念对调度进行优化,实现了对实际流量的自适应调度,不依赖于时间同步,提高了带宽利用率;最后,分析了该算法在实际交通调度中的最坏情况时延。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Scheduling Algorithm Based on Time Aware Shaper
At present, Time-Sensitive Networking has attracted extensive attention in automatic driving, Industrial 4.0, 5G and so on. TSN is used to guarantee the real-time transmission of critical traffic with bounded delay, which is realized by a variety of traffic scheduling mechanisms. One important mechanism of research is Time Aware Shaper mechanism, but current researches on this mechanism usually have the following problems: (a) It takes a long time to get the solution of the algorithm; (b) It’s difficult to schedule burst traffic and the algorithm depends on time synchronization; (c) There is a waste of bandwidth. The core idea of TAS mechanism is time division multiplexing, and the solution of transmission time is the key of traffic scheduling. This paper proposes an adaptive scheduling algorithm based on TAS to avoid above problems. First, the worst-case scheduling problem of actual traffic is seen as the scheduling problem of continuous traffic, and the transmission time of continuous traffic of the worst-case delay is analyzed; Second, the concept of queue scheduling is proposed to optimize scheduling, which achieves the adaptive scheduling of actual traffic, does not depend on time synchronization, and improve bandwidth utilization; Finally, the worst-case delay of the algorithm in actual traffic scheduling is analyzed.
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