首页> 外文会议>IEEE Conference on Computer Communications >Injection Time Planning: Making CQF Practical in Time-Sensitive Networking
【24h】

Injection Time Planning: Making CQF Practical in Time-Sensitive Networking

机译:注入时间计划:使CQF在时间敏感型网络中切实可行

获取原文

摘要

Time-Aware Shaper (TAS) is a core mechanism to guarantee the deterministic transmission for periodic time-sensitive flows in Time-Sensitive Networking (TSN). The generic TAS requires complex configurations for the Gate Control List (GCL) attached to each queue in a switch. To simplify the design of a TSN switch, a Ping-Pong queue-based model named Cyclic Queuing and Forwarding (CQF) was proposed in IEEE 802.1 Qch by assigning fixed configurations to TAS. However, IEEE 802.1 Qch only defines the queue model and workflow of CQF. A global planning mechanism which maps the time-sensitive flows onto the underlying resources both temporally and spatially is urgently needed to make CQF practical.In this paper, we propose an Injection Time Planning (ITP) mechanism to optimize the network throughput of time-sensitive flows based on the observation that the start time when the packets are injected into the network has an important influence on the utilization of CQF queue resources. ITP provides a global temporal and spatial resource abstraction to make the implementation details transparent to algorithm designers. Based on our ITP mechanism, a novel heuristic algorithm named Tabu-ITP with domain-specific optimizing strategies is designed and evaluated under three typical network topologies in industrial control scenarios. Compared with the Naive algorithm without using ITP mechanism, experimental results demonstrate that Tabu-ITP improves the mapped flow number by 10x and the resource utilization by 65%.
机译:时间感知整形器(TAS)是一种核心机制,可确保时间敏感网络(TSN)中周期性的时间敏感流的确定性传输。通用TAS需要对附加到交换机中每个队列的门控制列表(GCL)进行复杂的配置。为了简化TSN交换机的设计,在IEEE 802.1 Qch中通过为TAS分配固定配置,提出了一种基于乒乓队列的模型,称为循环排队和转发(CQF)。但是,IEEE 802.1 Qch仅定义了CQF的队列模型和工作流程。为了使CQF切实可行,迫切需要一种将时间敏感流在时间和空间上映射到基础资源的全局计划机制。数据流的流动是基于这样的观察:将数据包注入网络的开始时间对CQF队列资源的利用率有重要影响。 ITP提供了全局的时空资源抽象,以使实现细节对算法设计者透明。基于我们的ITP机制,在工业控制场景中的三种典型网络拓扑下,设计并评估了一种具有特定领域优化策略的新颖启发式算法Tabu-ITP。实验结果表明,与不使用ITP机制的朴素算法相比,Tabu-ITP的映射流数提高了10倍,资源利用率提高了65%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号