Deep-Reinforcement-Learning-Based Design Space Exploration for Time-Sensitive Networking
- 1 February 2025
- book chapter
- Published by Springer Nature
- p. 205-219
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- DeepScheduler: Enabling Flow-Aware Scheduling in Time-Sensitive Networking2023
- Synchronization in Time-Sensitive Networking: An Introduction to IEEE Std 802.1ASIEEE Communications Standards Magazine, 2022
- Time-Sensitive Networking in automotive embedded systems: State of the art and research opportunitiesJournal of Systems Architecture, 2021
- Genetic Algorithm for Scheduling Time-Triggered Traffic in Time-Sensitive Networks2018
- Time-Sensitive Networking: An IntroductionIEEE Communications Standards Magazine, 2018
- Deep Reinforcement Learning: A Brief SurveyIEEE Signal Processing Magazine, 2017
- Scheduling Real-Time Communication in IEEE 802.1Qbv Time Sensitive Networks2016
- No-wait Packet Scheduling for IEEE Time-sensitive Networks (TSN)2016
- A Brief History of Statistical Models for Network Analysis and Open ChallengesJournal of Computational and Graphical Statistics, 2012
- Satisfiability modulo theoriesCommunications of the ACM, 2011