The power of Machine Learning and Artificial Intelligence algorithms based on collected datasets, along with the programmability and flexibility provided by Software Defined Networking can provide the building blocks for constructing the so-called Zero-Touch Network and Service Management systems. However, the fuel towards this goal relies on the availability of sufficient and good-quality data collected from measurements and telemetry. This article provides a telemetry methodology to collect accurate latency measurements, as a first step toward building intelligent control planes that make correct decisions based on precise information.

翻译：基于所收集数据集的机器学习与人工智能算法，结合软件定义网络提供的可编程性与灵活性，共同构成了构建所谓零接触网络与服务管理系统的基础模块。然而，实现这一目标的关键在于能否通过测量与遥测获取充足且高质量的数据。本文提出了一种用于采集精确延迟测量的遥测方法，作为构建基于精确信息做出正确决策的智能控制平面的第一步。