Autonomous Integration of TSN-unaware Applications with QoS Requirements in TSN Networks
<|reference_start|>Autonomous Integration of TSN-unaware Applications with QoS Requirements in TSN Networks: Modern industrial networks transport both best-effort and real-time traffic. Time-Sensitive Networking (TSN) was introduced by the IEEE TSN Task Group as an enhancement to Ethernet to provide high quality of service (QoS) for real-time traffic. In a TSN network, applications signal their QoS requirements to the network before transmitting data. The network then allocates resources to meet these requirements. However, TSN-unaware applications can neither perform this registration process nor profit from TSN's QoS benefits. The contributions of this paper are twofold. First, we introduce a novel network architecture in which an additional device autonomously signals the QoS requirements of TSN-unaware applications to the network. Second, we propose a processing method to detect real-time streams in a network and extract the necessary information for the TSN stream signaling. It leverages a Deep Recurrent Neural Network (DRNN) to detect periodic traffic, extracts an accurate traffic description, and uses traffic classification to determine the source application. As a result, our proposal allows TSN-unaware applications to benefit from TSNs QoS guarantees. Our evaluations underline the effectiveness of the proposed architecture and processing method.<|reference_end|>
@article{flüchter2024autonomous,
    title={Autonomous Integration of TSN-unaware Applications with QoS Requirements
  in TSN Networks},
    author={Moritz Fl"uchter, Steffen Lindner, Lukas Osswald, J'er^ome Arnaud,
  Michael Menth},
    journal={arXiv preprint arXiv:2402.16454},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.16454},
    primaryClass={cs.NI}
}