From the 1 of 7 linked papers with an AI index.
7 papers
DeepNC: A Fast GNN-based Pre-Verification Surrogate for TSN Configuration
Jiayi Zhu, Jing Lin, Zelong Tian +2
Time-Sensitive Networking (TSN) is critical to deterministic communication in safety-critical domains, with formal verification such as Network Calculus (NC) serving as the corners…
Introducing Large Language Models into the Design Flow of Time-Sensitive Networking
Rubi Debnath, Luxi Zhao, Mohammadreza Barzegaran +2
The paper investigates how large language models can be used to automate the design, configuration, and management of Time Sensitive Networking (TSN) systems, presenting a proof‑of…
TSNBench: Benchmarking LLM Proficiency in Time-Sensitive Networking
Rubi Debnath, Daniel Bujosa Mateu, Luxi Zhao +3
We present TSNBench, the first benchmark for evaluating large language model (LLM) proficiency in Time-Sensitive Networking (TSN), a suite of IEEE 802.1 standards for deterministic…
Innovation Discovery System for Networking Research
Mengrui Zhang, Bang Huang, Yunxin Xu +7
As networking systems become increasingly complex, achieving disruptive innovation grows more challenging. At the same time, recent progress in Large Language Models (LLMs) has sho…
Learning-Based Traffic Classification for Mixed-Critical Flows in Time-Sensitive Networking
Rubi Debnath, Luxi Zhao, Sebastian Steinhorst
Time-Sensitive Networking (TSN) supports multiple traffic types with diverse timing requirements, such as hard real-time (HRT), soft real-time (SRT), and Best Effort (BE) within a…
CyclicSim: Comprehensive Evaluation of Cyclic Shapers in Time-Sensitive Networking
Rubi Debnath, Luxi Zhao, Mohammadreza Barzegaran +1
Cyclic Queuing and Forwarding (CQF) is a key Time-Sensitive Networking (TSN) shaping mechanism that ensures bounded latency using a simple gate control list (GCL). Recently, varian…