Auto-learning TSN:时间敏感网络(TSN)的可用性优化

Auto-learning TSN:improvements on TSN usability

许多网络应用(如工业控制)都要求网络提供确定性的传输服务,传统的统计复用网络无法满足这一类应用需求。IEEE 802.1时间敏感网络(TSN)相关标准和研究能够在以太网上提供确定性的网络服务。简述TSN的基本原理,利用网络演算对TSN中的关键排队机制进行了定量分析,并提出自学习TSN机制,通过网络智能化自适应支持非TSN端侧设备组网,结合时延保证算法形成端到端TSN方案,为TSN技术的进一步推广和应用打下了基础。

Many network applications(e.g.,industrial control)require networks to provide deterministic transmission services,and traditional statistical multiplexing networks can not meet the needs of this type of applications.IEEE 802.1 TSN standard and related research can provide deterministic networking services over Ethernet.The basic principles of TSN were described briefly,the key queuing mechanisms of TSN by using network calculus were analyzed quantitatively,and an auto-learning TSN mechanism was proposed to adaptively support non-TSN device connections by network intelligence.Together with delay guarantee algorithms,a E2E TSN solution can be formed and used for the further promotion and application of TSN technology.