A Hybrid Traffic Scheduling Strategy for Time-Sensitive Networking

被引:5
作者
Pei, Jinchuan [1 ]
Hu, Yuxiang [1 ]
Tian, Le [1 ]
Li, Menglong [1 ]
Li, Ziyong [1 ]
机构
[1] PLA Strateg Support Force Informat Engn Univ, Inst Informat Technol, Zhengzhou 450002, Peoples R China
基金
国家重点研发计划;
关键词
time-sensitive network; time aware shaping; cyclic queuing and forwarding; flow scheduling;
D O I
10.3390/electronics11223762
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The traffic scheduling mechanism in Time-Sensitive Networking (TSN) is the key to guaranteeing the deterministic transmission of traffic. However, when time-sensitive traffic and non-time-sensitive traffic are transmitted together, traffic scheduling conflicts are easy to occur in TSN. As a result, the deterministic transmission of time-sensitive traffic will be disrupted, and nontime-sensitive traffic may be preempted for a long time. To optimize the performance of multi-type hybrid traffic scheduling in TSN, we firstly establish a collaborative scheduling framework that incorporates Time Aware Shaping (TAS) and Cyclic Queuing and Forwarding (CQF) mechanisms. We then design a traffic shaping method in this framework based on Least Laxity First (LLF), which considers traffic characteristics to dynamically arrange the time slot injection sequence for different types of traffic. Finally, the traffic schedulability is evaluated based on the scheduling constraints of different types of traffic. Compared with the existing scheduling strategies, the proposed hybrid traffic scheduling strategy can schedule more non-time-sensitive traffic and achieve better delay performance of rate-constrained traffic in different hybrid traffic scenarios. When the number of flows is 100, the time slot injection ratio is increased by 24.3% compared with the LLF_TAS method.
引用
收藏
页数:22
相关论文
共 26 条
[21]   Incremental Flow Scheduling and Routing in Time-Sensitive Software-Defined Networks [J].
Nayak, Naresh Ganesh ;
Duerr, Frank ;
Rothermel, Kurt .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (05) :2066-2075
[22]  
Nguyen VQ, 2016, 2016 IEEE INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND AUTOMATION (ICCCA), P432, DOI 10.1109/CCAA.2016.7813815
[23]  
Yan JL, 2020, IEEE INFOCOM SER, P616, DOI [10.1109/infocom41043.2020.9155434, 10.1109/INFOCOM41043.2020.9155434]
[24]   Adaptive Priority Adjustment Scheduling Approach With Response-Time Analysis in Time-Sensitive Networks [J].
Yuan, Yazhou ;
Cao, Xu ;
Liu, Zhixin ;
Chen, Cailian ;
Guan, Xinping .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (12) :8714-8723
[25]   Timing Analysis of AVB Traffic in TSN Networks using Network Calculus [J].
Zhao, Luxi ;
Pop, Paul ;
Zheng, Zhong ;
Li, Qiao .
24TH IEEE REAL-TIME AND EMBEDDED TECHNOLOGY AND APPLICATIONS SYMPOSIUM (RTAS 2018), 2018, :25-36
[26]   Reliability-aware Scheduling and Routing for Messages in Time-sensitive Networking [J].
Zhou, Yuanbin ;
Samii, Soheil ;
Eles, Petru ;
Peng, Zebo .
ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, 2021, 20 (05)