Work-in-Progress: An Open-Source Evaluation Framework for Time-Sensitive Networking Scheduling Research

Chuanyu Xue; Elaine Hu; Tianyu Zhang; Song Han

doi:10.1109/RTSS66672.2025.00064

Back

Conference proceeding

Work-in-Progress: An Open-Source Evaluation Framework for Time-Sensitive Networking Scheduling Research

Chuanyu Xue, Elaine Hu, Tianyu Zhang and Song Han

Proceedings - Real-Time Systems Symposium, pp.628-631

12/02/2025

DOI: 10.1109/RTSS66672.2025.00064

View Online

Abstract

Reproducing and extending research on TimeSensitive Networking (TSN) scheduling has become increasingly challenging, as most published methods lack open-source implementations. The few available implementations are often scattered across different programming languages and formats, forcing researchers to reimplement algorithms from scratch-a time-consuming and error-prone process that hinders fair comparison of methods and slows research progress. In this work, we present TSNKit, an open-source toolkit designed to address these challenges through: (i) standardized implementations of a broad set of representative scheduling algorithms with unified interfaces for integrating new methods; (ii) an end-to-end pipeline covering test case generation, scheduling, and simulation-based validation; and (iii) comprehensive benchmarking modules for reproducible performance evaluation. TSNKit enables researchers to reproduce published results, extend existing methods, and perform fair comparisons across algorithms. Our ongoing work extends TSNKit to support multiple traffic shapers beyond Time-Aware Shaping (TAS), improve benchmark efficiency through enhanced scheduling heuristics, and incorporate hardware-in-the-loop capabilities for seamless real-world deployment.

Benchmark testing

Computer languages

Open-Source Toolkit

Performance evaluation

Pipelines

Real-time systems

Scheduling

Scheduling algorithms

Time-Sensitive Networking (TSN)

Validation and Evaluation

Details

Title: Subtitle: Work-in-Progress: An Open-Source Evaluation Framework for Time-Sensitive Networking Scheduling Research
Creators: Chuanyu Xue - University of Connecticut
Elaine Hu - Chestnut Hill College
Tianyu Zhang - University of Iowa
Song Han - University of Connecticut
Resource Type: Conference proceeding
Publication Details: Proceedings - Real-Time Systems Symposium, pp.628-631
DOI: 10.1109/RTSS66672.2025.00064
eISSN: 2576-3172
Publisher: IEEE
Language: English
Date published: 12/02/2025
Academic Unit: Computer Science
Record Identifier: 9985116070802771

Metrics

1 Record Views