syroca人工智能网络自动化平台

2021 24th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) Pub Date : 2021-03-01 DOI:10.1109/ICIN51074.2021.9385535

Alessio Diamanti, José Manuel Sánchez-Vílchez, Stefano Secci

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引用次数: 1

摘要

本文综合介绍了目前最先进的syroca(系统放射成像和根本原因分析)网络自动化框架，并详细介绍了其实验平台，以充分了解其技术演示。该框架旨在学习软件网络服务的名义运行条件，并实时表征异常，同时提供一种称为放射照相的紧凑系统状态表示。这种表示可以为运营团队提供对物理层和虚拟化层异常的实时洞察。相关的技术演示展示了syroca如何在Kubernetes管理的容器化vIMS(虚拟IP多媒体子系统)服务上检测不同性质的实时异常。

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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The SYRROCA AI-empowered network automation platform

This paper synthetically presents the SYRROCA (SYstem Radiography and ROot Cause Analysis) network automation framework at the state of the art, and details its experimental platform sufficiently enough to understand its technical demonstration. The framework aims to learn nominal operating conditions of a softwarized network service and characterize anomalies in real-time, while offering a compact system state representation called radiography. This representation can provide to operational teams with a real-time insight on anomalies at physical and virtualized layers. The related technical demonstration showcases how SYRROCA can detect real-time anomalies of different nature on a containerized vIMS (virtual IP Multimedia Subsystem) service managed by Kubernetes.

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2021 24th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)

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