Knowledge-defined networking using in-band network telemetry

J. Hyun, N. V. Tu, J. W. Hong
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引用次数: 22

Abstract

Today's network is rapidly growing in terms of the number of connected devices and becomes more complex, making the complexity of network management increasing. Self-driving network concept is arising to solve those problems and a good candidate for the closed-loop network management solution. Knowledge-defined Networking (KDN), network telemetry and Software-defined Networking (SDN) are fundamental building blocks to realize self-driving network. Using the self-driving network, OPEX can be reduced and the performance of the network can be grown. In this paper, we propose an architecture for collecting network telemetry and combining KDN to work with SDN and P4 INT. We also suggest several use-cases for the self-driving network architecture.
使用带内网络遥测技术的知识定义网络
当今的网络连接设备数量快速增长,网络结构日趋复杂,网络管理的复杂性也随之增加。自驾车网络的概念正是为了解决这些问题而产生的,也是闭环网络管理解决方案的一个很好的候选。知识定义网络(KDN)、网络遥测和软件定义网络(SDN)是实现自驾车网络的基本组成部分。使用自驾车网络可以降低OPEX,提高网络性能。在本文中,我们提出了一种网络遥测采集体系结构,并将KDN与SDN和p4int相结合。我们还为自动驾驶网络架构提出了几个用例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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