Exploiting Dependency-Aware Priority Adjustment for Mixed-Criticality TSN Flow Scheduling

Autor:	Guo, Miao, Sun, Yifei, Gu, Chaojie, He, Shibo, Shi, Zhiguo
Rok vydání:	2024
Předmět:	Computer Science - Networking and Internet Architecture Electrical Engineering and Systems Science - Systems and Control
Druh dokumentu:	Working Paper
Popis:	Time-Sensitive Networking (TSN) serves as a one-size-fits-all solution for mixed-criticality communication, in which flow scheduling is vital to guarantee real-time transmissions. Traditional approaches statically assign priorities to flows based on their associated applications, resulting in significant queuing delays. In this paper, we observe that assigning different priorities to a flow leads to varying delays due to different shaping mechanisms applied to different flow types. Leveraging this insight, we introduce a new scheduling method in mixed-criticality TSN that incorporates a priority adjustment scheme among diverse flow types to mitigate queuing delays and enhance schedulability. Specifically, we propose dependency-aware priority adjustment algorithms tailored to different link-overlapping conditions. Experiments in various settings validate the effectiveness of the proposed method, which enhances the schedulability by 20.57% compared with the SOTA method. Comment: This paper has been accepted by IWQoS'24
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2407.00987 Zobrazit plný text záznamu View this record from Arxiv