TY - GEN
T1 - Fast real-time scheduling for ethernet-based train control networks
AU - Yu, Qinghan
AU - Wang, Tian
AU - Zhao, Xibin
AU - Wang, Hai
AU - Gao, Yue
AU - Lu, Chenyang
AU - Gu, Ming
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Traditional field bus cannot meet the demand of modern trains that generate increasing amounts of control and diagnostic data. To support these communications with real-time requirements, time-triggered network is a promising technology as real-time frames are transmitted according to a pre-computed schedule. However, a unique challenge for modern trains is dynamic train inauguration, where the pre-computed schedule needs to be reconfigured online due to network topology changes. This paper presents a novel scheduling approach specifically designed for the dynamic schedule generation. The novelty of our approach is two-fold. In contrast to the traditional scheduling approaches that rely on time-consuming solvers to generate schedules offline, our scheduler features efficient heuristics-based algorithms. Moreover, our scheduling algorithm is cognizant of the interdependence between bandwidth and memory constraints in time-triggered network switches with shared buffers. Simulation results show that our scheduling algorithm has better scheduling ability than the myopic approach and SMT-based approach when schedules are required to be generated rapidly for train inauguration.
AB - Traditional field bus cannot meet the demand of modern trains that generate increasing amounts of control and diagnostic data. To support these communications with real-time requirements, time-triggered network is a promising technology as real-time frames are transmitted according to a pre-computed schedule. However, a unique challenge for modern trains is dynamic train inauguration, where the pre-computed schedule needs to be reconfigured online due to network topology changes. This paper presents a novel scheduling approach specifically designed for the dynamic schedule generation. The novelty of our approach is two-fold. In contrast to the traditional scheduling approaches that rely on time-consuming solvers to generate schedules offline, our scheduler features efficient heuristics-based algorithms. Moreover, our scheduling algorithm is cognizant of the interdependence between bandwidth and memory constraints in time-triggered network switches with shared buffers. Simulation results show that our scheduling algorithm has better scheduling ability than the myopic approach and SMT-based approach when schedules are required to be generated rapidly for train inauguration.
KW - Industrial Ethernet
KW - Real-Time Scheduling
KW - Train Control Networks
UR - http://www.scopus.com/inward/record.url?scp=85063867963&partnerID=8YFLogxK
U2 - 10.1109/BDCloud.2018.00085
DO - 10.1109/BDCloud.2018.00085
M3 - Conference contribution
AN - SCOPUS:85063867963
T3 - Proceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018
SP - 533
EP - 540
BT - Proceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018
A2 - Chen, Jinjun
A2 - Yang, Laurence T.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018
Y2 - 11 December 2018 through 13 December 2018
ER -