IEEE 802.1 TSN网络自配置

Marina Gutiérrez, A. Ademaj, W. Steiner, R. Dobrin, S. Punnekkat
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引用次数: 65

摘要

实时网络的配置过程在时间和工程努力方面都是昂贵的,并且需要在重新配置阶段关闭系统,从而导致大量停机时间。IT/OT技术的融合为自动化行业的实时网络配置和管理带来了无限的可能性。随着软件定义网络(SDN)特性(如数据和控制平面的分离)和标准(如IEEE 802.1)的开发,即插即用范式即将到来,这些标准的目标是为传统的动态交换以太网添加确定性功能。在本文中,我们更进一步,开始研究实时网络的自配置。为了实现这一目标,我们建议在网络中引入一个配置代理(Configuration Agent),它是一个持续监视网络以检测更改并自动更新配置以适应此类更改的实体,同时保持所需的服务质量。我们在这里给出了配置代理的完整框架,它将为实时网络提供自配置功能。提出的框架以IEEE 802.1为核心,但也显示了如何扩展标准集以实现自配置要求。具体地说,我们研究了现有的通信协议,如NETCONF和OPC-UA的作用,并提出了用于网桥学习方面的YANG模型的基本成分(管理对象),包括不同的工作模式。
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Self-configuration of IEEE 802.1 TSN networks
Configuration processes of real-time networks are costly both in terms of time and engineering effort and require the system to be shutdown during the reconfiguration phase thus resulting in significant down time as well. The convergence of IT/OT technologies is bringing a whole world of possibilities for the configuration and management of real-time networks for the automation industry. With software defined networking (SDN) features like the separation of the data and control plane and standards like IEEE 802.1 developed with the goal of adding deterministic capabilities to traditionally dynamic switched Ethernet networks, the plug and play paradigm is almost around the corner. In this paper, we go one step further and start looking into the self-configuration of real-time networks. To achieve that we propose to introduce a Configuration Agent in the network, an entity that continuously monitors the network to detect changes and automatically update the configuration to adapt to such changes while maintaining desired quality of service. We present here the complete framework for the Configuration Agent that will provide self-configuration capabilities to real-time networks. The proposed framework has IEEE 802.1 as its core, but also shows how the set of standards need to be extended in order to achieve the self-configuration requirements. Concretely we examine the role of existing communication protocols like NETCONF and OPC-UA and propose the essential ingredients (managed objects) for a YANG model for the learning aspects in the bridges, including different working modes.
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