WANG Bo, GAO Wenwei, XU Danni, HE Xinle. A strong real-time traffic scheduling and automatic configuration method for TSN based on NeSTiNg[J]. Microelectronics & Computer, 2022, 39(11): 62-68. DOI: 10.19304/J.ISSN1000-7180.2022.0218
Citation: WANG Bo, GAO Wenwei, XU Danni, HE Xinle. A strong real-time traffic scheduling and automatic configuration method for TSN based on NeSTiNg[J]. Microelectronics & Computer, 2022, 39(11): 62-68. DOI: 10.19304/J.ISSN1000-7180.2022.0218

A strong real-time traffic scheduling and automatic configuration method for TSN based on NeSTiNg

  • Traffic scheduling is the core of Time Sensitive Networking (TSN) technology. In large-scale industrial embedded system applications, the design and simulation stages of TSN traffic scheduling require complex and demanding configuration of scheduling information such as links, flows, and gating. Existing configuration methods based on simulation frameworks mostly use manual configuration, which hinders the applicability of these frameworks to large-scale TSN networks. Based on the strong real-time traffic transmission mechanism of TSN and the NeSTiNg (Network Simulator for Time-Sensitive Networking) framework, this paper proposes a strong real-time traffic scheduling and automatic configuration method suitable for large networks. First, this method is different from the traditional manual configuration input method, and realizes the automatic configuration of information such as flow offsets, gate status and routing tables; secondly, the method extracts the end-to-end delay of the flow, which verifies the strong real-time performance of TSN transmission in large networks; finally, the applicability of the method to dynamic topology is evaluated by calculating the computing time of selecting a new path after topology changes. The results show that this method guarantees strong real-time transmission of large numbers of flows in a large network, and when the topology changes, it has a lower computing time than static routing.
  • loading

Catalog

    Turn off MathJax
    Article Contents

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return