Software-defined networking driven time-sensitive networking for mixed-criticality control applications

Publikationstyp
Conference Paper
Date Issued
2022
Sprache
English
Author(s)
Kurtz, Fabian
Stomberg, Gösta  
Bandeira, Maisa Beraldo
Puttschneider, Jens
Greiwe, Felix
Kaupmann, Michael
Hams, Christoph
Harnisch, Tim
Tay, Mey Olivares
Choudhary, Asha
Trevino, Jorge Ramirez
Bhanderi, Abhishek
Rajashekbhar, Apurva
Vemana, Padmashree
Alhanalfi, Ahmed
Faulwasser, Timm  
Wietfeld, Christian  
TORE-URI
https://hdl.handle.net/11420/46094
Volume
2022-October
Start Page
99
End Page
104
Citation
F. Kurtz et al., "Software-Defined Networking driven Time-Sensitive Networking for Mixed-Criticality Control Applications," 2022 13th International Conference on Information and Communication Technology Convergence (ICTC): 99-104 (2022)
Contribution to Conference
13th International Conference on Information and Communication Technology Convergence, ICTC 2022  
Publisher DOI
10.1109/ICTC55196.2022.9952522
Scopus ID
2-s2.0-85143252317
Publisher
IEEE
ISSN
21621233
ISBN
9781665499392
Developments such as Industry 4.0, Smart Grids, or Intelligent Transportation System (ITS) depend on reliable high-performance communications to enable the underlying control algorithms. Nevertheless, in most cases it is not viable to provide network infrastructures exclusively for mission-critical control traffic or just the general use case. Hence, 5G as well as future 6G networks entail functionalities such as network slicing to enable the coexistence of mixed-criticality applications on unified networks. An approach capable of supporting slicing in the wireline domain is Time-Sensitive Networking (TSN). It addresses the mentioned challenges by enhancing the Ethernet standard with functionalities required for deterministically bounded low latencies and preemption of high priority data flows. To facilitate its integration with existing 5G and emerging architectures including 6G and open Radio Access Networks (O-RANs), Software-Defined Networking (SDN) has emerged for orchestrating the novel feature set. In this paper, we thus combine TSN and SDN to design an integrated solution. We present experimental results on handling communication-demanding control algorithms and cross traffic simultaneously. Our findings underpin the potential of SDN-driven TSN for mixed-criticality control applications.
DDC Class
004: Computer Sciences
380: Commerce, Communications, Transport