Research of Control Framework in Time-Sensitive Network

doi:10.13190/j.jbupt.2020-135

Journal of Beijing University of Posts and Telecommunications ›› 2021, Vol. 44 ›› Issue (2): 95-101.doi: 10.13190/j.jbupt.2020-135

• The Special Issue on Future Network Architecture and Key Technologies • Previous Articles Next Articles

Research of Control Framework in Time-Sensitive Network

WANG Jing-chao¹, GAO Xian-ming², HUANG Yu-dong³, WANG Shuo³, HUANG Tao³

1. Peng Cheng Laboratory, Shenzhen 518000, China;
2. Institute of Systems Engineering, Academy of Military Science, Beijing 100141, China;
3. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2020-08-21 Online:2021-04-28 Published:2021-04-28

Abstract

Abstract: In order to advance control architecture research of time-sensitive networks, the design requirement of time-sensitive network control architecture is analyzed. The development status and technical challenges of time sensitive network(TSN) control architecture are presented from three aspects including configuration objects, architecture models, and architecture implementations. The gateway and unified architecture based implementation models are mainly studied around core functions such as demand perception, strategy calculation, and strategy deployment. The development trend of TSN control architecture is given. It is expected to lay a technical foundation for the application and popularization of TSN through the study of TSN control architecture.

Key words: time-sensitive network, software-defined network, control framework, architecture model, architecture implementation

CLC Number:

TP393.0

WANG Jing-chao, GAO Xian-ming, HUANG Yu-dong, WANG Shuo, HUANG Tao. Research of Control Framework in Time-Sensitive Network[J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(2): 95-101.

References

[1] Boehm M, Ohms J, Kumar M, et al. Time-sensitive software-defined networking:a unified control-plane for TSN and SDN[C]//Mobile Communication-Technologies and Applications. Osnabrueck:VDE, 2019:1-6.
[2] Huang Tao, Wang Shuo, Huang Yudong, et al. Survey of the deterministic network[J]. Journal on Communications, 2019, 40(6):160-176.
[3] IEEE. IEEE draft standard for local and metropolitan area networks-media access control bridges and virtual bridged local area networks amendment:stream reservation protocol enhancements and performance improvements:IEEE P802.1Qcc/D2.0-2017[S/OL]. 2017[2021-03-07]. https://ieeexplore.ieee.org/document/8118313.
[4] IEEE. IEEE standard for local and metropolitan area networks-timing and synchronization for time-sensitive applications in bridged local area networks:IEEE Std 802.1AS-2011[S/OL]. 2011[2021-03-07]. https://ieeexplore.ieee.org/document/5741898.
[5] IEEE. IEEE standard for local and metropolitan area networks-virtual bridged local area networks amendment 14:stream reservation protocol:Std 802.1Qat (Revision of IEEE Std 802.1Q-2005) -2010[S/OL]. 2010[2021-03-07]. https://ieeexplore.ieee.org/document/5594972.
[6] IEEE. IEEE standard for local and metropolitan area networks-bridges and bridged networks-amendment 28:per-stream filtering and policing:Std 802.1Qci:2017[S/OL]. 2017[2021-03-07]. https://ieeexplore.ieee.org/document/8064221.
[7] IEEEE. IEEE standard for local and metropolitan area networks-bridges and bridged networks-amendment 25:enhancements for scheduled traffic:Std 802.1Qbv-2017[S/OL]. 2017[2021-03-07]. https://ieeexplore.ieee.org/document/8613095.
[8] McKeown N, Anderson T, Balakrishnan H, et al. Openflow:enabling innovation in campus networks[C]//SIGCOMM Computer Communication Review.[S.l.]:ACM, 2008:69-74.
[9] Samii S, Zinner H. Level 5 by layer 2:time-sensitive networking for autonomous vehicles[J]. IEEE Communications Standards Magazine, 2018, 2(2):62-68.
[10] Bello L L, Steiner W. A perspective on IEEE time-sensitive networking for industrial communication and automation systems[J]. Proceedings of the IEEE, 2019, 107(6):1094-1120.
[11] Nasrallah A, Thyagaturu S, Alharbi Z, et al. Ultra-low latency networks:the IEEE TSN and IETF detnet standards and related 5G ULL research[J]. IEEE Communications Surveys and Tutorials, 2019, 21(1):88-145.
[12] Mannweiler C, Gajic B, Rost P, et al. Reliable and deterministic mobile communications for industry 4.0:key challenges and solutions for the integration of the 3GPP 5G system with IEEE[C]//Mobile Communication Technologies and Applications. Osnabrueck:VDE, 2019:1-6.
[13] Chen Q, Zhong Q, Sun D, et al. Etn-Ethernet transport network for 5G mobile transport, metro, and DCI network[C]//2018 IEEE International Conference on Communication Systems (ICCS). Chengdu:IEEE, 2018:332-336.
[14] Häckel T, Meyer P, Korf F, et al. Sdn4core:a simulation model for software-defined networking for communication over real-time Ethernet[C]//Proceedings of the 6th International OMNeT++ Community Summit. Hamburg:Easychair, 2019:24-31.
[15] Said S B H, Truong Q H, Boc M. SDN-based configuration solution for IEEE 802.1 time sensitive networking[J]. ACM SIGBED Review, 2019, 16(1):27-32.
[16] Hackel T, Meyer P, Korf F, et al. Software-defined networks supporting time-sensitive in-vehicular communication[C]//2019 IEEE 89th VTC2019-Spring. Kuala Lumpur:IEEE, 2019:1-5.
[17] Gerhard T, Kobzan T, Blöcher I, et al. Software-defined flow reservation:configuring IEEE 802.1-q time-sensitive networks by the use of software-defined networking[C]//2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Zaragoza:IEEE, 2019:216-223.
[18] Thiele D, Ernst R. Formal analysis based evaluation of software defined networking for time-sensitive Ethernet[C]//2016 Design, Automation and Test in Europe Conference and Exhibition (DATE). Dresden:IEEE, 2016:31-36.
[19] Gutiérrez M, Ademaj A, Steiner W, et al. Self-configuration of IEEE 802.1 TSN networks[C]//201722nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Limassol:IEEE, 2017:1-8.
[20] Schriegel S, Kobzan T, Jasperneite J. Investigation on a distributed SDN control plane architecture for heterogeneous time sensitive networks[C]//2018 14th IEEE International Workshop on Factory Communication Systems (WFCS). Imperia:IEEE, 2018:1-10.
[21] Farzaneh M H, Knoll A. An ontology-based plug-and-play approach for in-vehicle time-sensitive networking[C]//2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). Vancouver:IEEE, 2016:1-8.

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