Improving Traffic Scheduling Based on Per-flow Virtual Queues in Time-Sensitive Networking

Haokai Jing, Tong Zhang · 2023

Time-sensitive networking (TSN) is a set of stan-dards designed to enhance reliable and real-time transmission for ensuring Quality of Service (QoS) for time-critical applications. The switching architecture is a fundamental component of TSN switches to ensure different requirements. However, in the existing TSN switching architecture, each port has up to 8 queues. Limited number of queues may make traffic scheduling more complex and constrained, degrading scheduling performance. In this paper, we propose a traffic scheduling method based on the dynamic hashing per-flow virtual queue (HPFS) in TSN. On this basis, we develop a new traffic scheduling strategy that fully utilizes the per-flow virtual queue. Extensive simulations show that HPFS is effective for schedulability enhancement and latency reduction while providing more concise scheduling,

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