Towards Synthesizing Datasets for IEEE 802.1 Time-sensitive Networking
Ergenc D, Bülbül NS, Maile L, Arestova A, Fischer M (2023)
Publication Language: English
Publication Type: Other publication type, Workshop
Publication year: 2023
Publisher: Workshop "Machine Learning & Networking"
City/Town: Workshop on “Machine Learning & Networking (MaLeNe)”
DOI: 10.48550/arXiv.2308.10255
Abstract
IEEE 802.1 Time-sensitive Networking (TSN) protocols have recently been proposed to replace legacy networking technologies across different mission-critical systems (MCSs). Design, configuration, and maintenance of TSN within MCSs require advanced methods to tackle the highly complex and interconnected nature of those systems. Accordingly, artificial intelligence (AI) and machine learning (ML) models are the most prominent enablers to develop such methods. However, they usually require a significant amount of data for model training, which is not easily accessible. This short paper aims to recapitulate the need for TSN datasets to flourish research on AI/ML-based techniques for TSN systems. Moreover, it analyzes the main requirements and alternative designs to build a TSN platform to synthesize realistic datasets.
Authors with CRIS profile
Lisa Maile
Computer Science 7 (Computer Networks and Communication Systems)
Anna Arestova
Computer Science 7 (Computer Networks and Communication Systems)
Related research project(s)
Involved external institutions
Germany (DE)How to cite
APA:
Ergenc, D., Bülbül, N.S., Maile, L., Arestova, A., & Fischer, M. (2023). Towards Synthesizing Datasets for IEEE 802.1 Time-sensitive Networking. Workshop on “Machine Learning & Networking (MaLeNe)”: Workshop "Machine Learning & Networking".
MLA:
Ergenc, Doganalp, et al. Towards Synthesizing Datasets for IEEE 802.1 Time-sensitive Networking. Workshop on “Machine Learning & Networking (MaLeNe)”: Workshop "Machine Learning & Networking", 2023.
BibTeX: Download