系统工程与电子技术 ›› 2022, Vol. 44 ›› Issue (6): 2027-2034.doi: 10.12305/j.issn.1001-506X.2022.06.31

• 通信与网络 • 上一篇    下一篇

TSN时间敏感流量带宽分配与优化

赵长啸1, 李二帅2, 何锋2, 王鹏1,*   

  1. 1. 中国民航大学安全科学与工程学院, 天津 300300
    2. 北京航空航天大学电子信息工程学院, 北京 100191
  • 收稿日期:2021-06-03 出版日期:2022-05-30 发布日期:2022-05-30
  • 通讯作者: 王鹏
  • 作者简介:赵长啸 (1989—), 男, 副研究员, 博士, 主要研究方向为适航审定技术、机载网络|李二帅 (1993—), 男, 博士研究生, 主要研究方向为实时网络|何锋 (1980—), 男, 副教授, 博士, 主要研究方向为航空电子综合、实时网络与调度|王鹏 (1982—), 男, 研究员, 博士, 主要研究方向为民用系统安全性分析、机载电子适航技术
  • 基金资助:
    国家自然科学基金(62071023);中国民航大学天津市民用航空器适航与维修重点实验室开放基金(2017SW02);天津市教委科研计划(2019KJ134)

Bandwidth allocation and optimization of time-sensitive traffic in TSN

Changxiao ZHAO1, Ershuai LI2, Feng HE2, Peng WANG1,*   

  1. 1. School of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
    2. School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
  • Received:2021-06-03 Online:2022-05-30 Published:2022-05-30
  • Contact: Peng WANG

摘要:

针对时间敏感网络(time-sensitive networking, TSN)中时间敏感流量的带宽分配, 必须要根据流量传输的实时性需求, 并考虑不同类型流量的占比, 提供具体的优化策略和带宽分配结果。首先, 基于网络演算方法, 建立时敏流量带宽分配评估模型; 然后, 根据实时性需求构建带宽分配的约束条件, 采用启发式方法, 实施带宽分配的优化; 最后, 通过案例, 验证带宽分配在不同链路负载率和流量占比下的变化趋势。实验结果表明, 采用基于信用量的流量整形机制, 当案例中A类型流量的带宽分配占比为70%时, 可获得最佳带宽匹配效果, 实现网络中所有流量端到端延迟和最小的流量传输。

关键词: 时间敏感网络, 带宽分配, 网络演算, 启发式算法, 性能评估

Abstract:

For the bandwidth allocation of time-sensitive traffic in time-sensitive networking (TSN), it is important to provide specific optimization strategies and bandwidth allocation results based on the real-time requirements of traffic delivery with the consideration of the share of different types of traffic Based on this, a specific optimization strategy can be provided for bandwidth assignments according to the real-time requirements of traffic transmission. In this paper, we first establish a bandwidth allocation evaluation model based on network calculus. Then, a heuristic algorithm is used to optimize the bandwidth allocation when the constraints are constructed based on real-time requirements. Finally, cases are used to study the changing trend of optimized results under various influences, including the traffic loads and proportion of different traffic classes. The evaluation results show that based on the credit-based shaping (CBS) mechanism for traffic, the lowest overall end-to-end delay for traffic transmission can be obtained when the proportion of class A traffic is 70% in the example network, thereby realize the best matching ratio.

Key words: time-sensitive networking (TSN), bandwidth allocation, network calculus, heuristic algorithm, performance evaluation

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