TY - GEN
T1 - Token Regulated Credit Based Shaper for Time Sensitive Networks
AU - Fang, Bingwu
AU - Li, Qiao
AU - Hu, Hao
AU - Xiong, Huagang
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10
Y1 - 2020/10
N2 - To fulfill the real-time requirement in various scenarios, such as Industrial Automation and Control Systems (IACS) and Advanced Driver Assistance Systems (ADAS), Time-Sensitive Networking (TSN) Task Group (TG) have been proposing flow control strategies. As an implementation of per-class flow control strategy, Credit Based Shaping (CBS) space out the Audio/Video (A/V) frames to reduce bursting and bunching as well as protect A/V frames from being interfered. However, CBS provides coarse-grained service, which means the real-time performance for each flow cannot be provided individually. In this paper, we propose Token Regulated Credit Based Shaper (TRCBS), which is an extension of CBS. Unlike CBS, TRCBS operates each flow and can provide the fine-grained service. Based on simulations and evaluations operated in OMNeT++, the performance of TRCBS was qualified analyzed. Furthermore, the comparison between CBS and TRCBS was shown. And TRCBS can even provide better real-time guarantee as well as fine-grained QoS for the flows in the network.
AB - To fulfill the real-time requirement in various scenarios, such as Industrial Automation and Control Systems (IACS) and Advanced Driver Assistance Systems (ADAS), Time-Sensitive Networking (TSN) Task Group (TG) have been proposing flow control strategies. As an implementation of per-class flow control strategy, Credit Based Shaping (CBS) space out the Audio/Video (A/V) frames to reduce bursting and bunching as well as protect A/V frames from being interfered. However, CBS provides coarse-grained service, which means the real-time performance for each flow cannot be provided individually. In this paper, we propose Token Regulated Credit Based Shaper (TRCBS), which is an extension of CBS. Unlike CBS, TRCBS operates each flow and can provide the fine-grained service. Based on simulations and evaluations operated in OMNeT++, the performance of TRCBS was qualified analyzed. Furthermore, the comparison between CBS and TRCBS was shown. And TRCBS can even provide better real-time guarantee as well as fine-grained QoS for the flows in the network.
KW - Quality of Service
KW - Shaper
KW - Simulation
KW - Time-Sensitive Networks
UR - https://www.scopus.com/pages/publications/85096767460
U2 - 10.1109/CITS49457.2020.9232618
DO - 10.1109/CITS49457.2020.9232618
M3 - 会议稿件
AN - SCOPUS:85096767460
T3 - Proceedings of the 2020 International Conference on Computer, Information and Telecommunication Systems, CITS 2020
BT - Proceedings of the 2020 International Conference on Computer, Information and Telecommunication Systems, CITS 2020
A2 - Obaidat, Mohammad S.
A2 - Hsiao, Kuei-Fang
A2 - Nicopolitidis, Petros
A2 - Cascado-Caballero, Daniel
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Computer, Information and Telecommunication Systems, CITS 2020
Y2 - 5 October 2020 through 7 October 2020
ER -