Flow Scheduling for Conflict-Free Network Updates in Time-Sensitive Software-Defined Networks

被引:48
|
作者
Pang, Zaiyu [1 ]
Huang, Xiao [1 ]
Li, Zonghui [2 ]
Zhang, Sukun [1 ]
Xu, Yanfen [3 ]
Wan, Hai [1 ]
Zhao, Xibin [1 ]
机构
[1] Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol, Sch Software, Key Lab Informat Syst Secur, Beijing 100084, Peoples R China
[2] Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing Key Lab Transportat Data Anal & Min, Beijing 100044, Peoples R China
[3] CRRC Qingdao Sifang Rolling Stock Res Inst Co Ltd, Qingdao 266031, Peoples R China
基金
中国博士后科学基金;
关键词
Schedules; Job shop scheduling; Informatics; Real-time systems; Processor scheduling; Network topology; Integer linear programming (ILP)-based scheduling; network updates; time-sensitive networking (TSN); time-triggered (TT) networks; RECONFIGURATION;
D O I
10.1109/TII.2020.2998224
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 digital transformation of industry requires industrial control networks provide high flexibility and determinacy. Time-sensitive software-defined networking that combines time-sensitive networking and software-defined networking is a new network paradigm which provides both real-time transmission feature and network flexibility. During network updates, the transmission consistency needs to be maintained. However, previous mechanisms mostly target on the proper schedule transition, which cannot guarantee no frame loss and also introduces extra update overhead. The article proposes a novel flow schedule generation model which guarantees no frame loss during network updates even with the basic two-phase update mechanism and introduces no extra update overhead. Two algorithms are designed for the model to adapt to different application scenarios: the offline algorithm poses better schedulability, whereas the online one consumes less time with slightly decreased schedulability. The experiments on two real-world industrial networks demonstrate our mechanism achieves zero frame loss without extra update overhead compared to existing methods, and the online algorithm saves 40% execution time with at most 10% schedulability decrease when the bandwidth utilization is less than 50%.
引用
收藏
页码:1668 / 1678
页数:11
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