Large-scale Deterministic Transmission among IEEE 802.1Qbv Time-Sensitive Networks

TL;DR

This paper presents a hierarchical network architecture combining TAS and DIP to enable large-scale deterministic transmission across local and backbone networks, addressing limitations of TAS alone.

Contribution

It introduces a cross-domain transmission mechanism and end-to-end scheduling to extend deterministic networking from local to large-scale networks.

Findings

Achieves end-to-end deterministic transmission in high-loaded scenarios

Effectively integrates TAS and DIP for large-scale networks

Improves acceptance of time-sensitive traffic

Abstract

IEEE 802.1Qbv (TAS) is the most widely used technique in Time-Sensitive Networking (TSN) which aims to provide bounded transmission delays and ultra-low jitters in industrial local area networks. With the development of emerging technologies (e.g., cloud computing), many wide-range time-sensitive network services emerge, such as factory automation, connected vehicles, and smart grids. Nevertheless, TAS is a Layer 2 technique for local networks, and cannot provide large-scale deterministic transmission. To tackle this problem, this paper proposes a hierarchical network containing access networks and a core network. Access networks perform TAS to aggregate time-sensitive traffic. In the core network, we exploit DIP (a well-known deterministic networking mechanism for backbone networks) to achieve long-distance deterministic transmission. Due to the differences between TAS and DIP, we design cross-domain transmission mechanisms at the edge of access networks and the core network to achieve seamless deterministic transmission. We also formulate the end-to-end scheduling to maximize the amount of accepted time-sensitive traffic. Experimental simulations show that the proposed network can achieve end-to-end deterministic transmission even in high-loaded scenarios.