An efficient scheduling approach for multi-level industrial chain flows in time-sensitive networking

被引:7
|
作者
Gong, Kai [1 ]
Yang, Dong [1 ,2 ]
Zhang, Weiting [1 ]
Ren, Jie [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Peng Cheng Lab, Shenzhen 518000, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Time-sensitive networking; Chain flow; Scheduling algorithm; TSN;
D O I
10.1016/j.comnet.2022.109516
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Time-sensitive networking (TSN) is a promising real-time network technology that has deterministic delay and jitter guarantee capabilities. However, TSN flow scheduling faces challenges in the multi-level topology due to the cooperative scheduling requirements of multiple data flows, which are abstracted as TSN chain flows. In this paper, we present an efficient scheduling approach, namely TSN Chained Flow Scheduling (TCFS), which is utilized to globally schedule chain flows in the multi-level topology. To obtain optimal TCFS scheduling results, we design the scheduling constraints and propose an offline algorithm to efficiently schedule chain flows in the multi-level topology. Based on offline scheduling results, we further propose a heuristic method that includes time-tabling and sequencing algorithms to improve the dynamic scheduling performance. Experimental results show that the TCFS approach efficiently improves the schedulability for chain flows, as compared with benchmarks.
引用
收藏
页数:10
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