A Routing Algorithm for Ensuring the Schedulability of Time-Sensitive Flows

While current Time-Sensitive Network (TSN) research focuses on reducing end-to-end delay through scheduling optimization, it often overlooks routing impacts. Traditional methods like Shortest Path First (SPF) struggle with new flow schedulability and existing flow disruption. This paper presents a TSN routing algorithm based on network calculus, calculating worst-case delays to ensure deadline compliance and balance link loads. A new flow prioritization method further optimizes scheduling. Experiments show the proposed algorithm improves scheduling success, keeps average delay under 70 μs, reduces maximum link load by 18.5% compared to wt-ECMP, and achieves a tenfold runtime reduction.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/msn63567.2024.00171
Primary Topic
Simulation Techniques and Applications
Type
article
Field-Weighted Citation Impact
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A Routing Algorithm for Ensuring the Schedulability of Time-Sensitive Flows

Huiling Shi, Chengen Wang, Yiwei Zhang, Xiaolong Wang et al.
Simulation Techniques and Applications
article

A Routing Algorithm for Ensuring the Schedulability of Time-Sensitive Flows

Huiling Shi, Chengen Wang, Yiwei Zhang, Xiaolong Wang, Wei Zhang
article en

Abstract

While current Time-Sensitive Network (TSN) research focuses on reducing end-to-end delay through scheduling optimization, it often overlooks routing impacts. Traditional methods like Shortest Path First (SPF) struggle with new flow schedulability and existing flow disruption. This paper presents a TSN routing algorithm based on network calculus, calculating worst-case delays to ensure deadline compliance and balance link loads. A new flow prioritization method further optimizes scheduling. Experiments show the proposed algorithm improves scheduling success, keeps average delay under 70 μs, reduces maximum link load by 18.5% compared to wt-ECMP, and achieves a tenfold runtime reduction.

Qilu University of Technology (CN), Shandong Academy of Sciences (CN)
Openalex Percentile: Top 64%
Simulation Techniques and Applications
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