Modern networks and systems pose many challenges to traditional management approaches. Not only the number of devices and the volume of network traffic are increasing exponentially, but also new network protocols and technologies require new techniques and strategies for monitoring controlling and managing up and coming networks and systems. Moreover, machine learning has recently found its successful applications in many fields due to its capability to learn from data to automatically infer patterns for network analytics. Thus, the deployment of machine learning in network and system management has become imminent. This work provides a review of the applications of machine learning in network and system management. Based on this review, we aim to present the current opportunities and challenges in and highlight the need for dependable, reliable and secure machine learning for network and system management.

中文翻译：

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前沿：用于网络/系统管理的可靠、可靠和安全的机器学习

现代网络和系统对传统管理方法提出了许多挑战。不仅设备数量和网络流量呈指数级增长，而且新的网络协议和技术也需要新技术和策略来监控和管理即将到来的网络和系统。此外，机器学习最近在许多领域得到了成功的应用，因为它能够从数据中学习以自动推断网络分析的模式。因此，在网络和系统管理中部署机器学习已迫在眉睫。这项工作回顾了机器学习在网络和系统管理中的应用。在此审查的基础上，我们旨在介绍当前的机遇和挑战，并强调对可靠、