Trends such as increasing mobile device ownership and faster and more affordable internet speed have contributed to significant demands in media-based services on mobile devices. There has been an emphasis on content delivery networks to support media-based services. However, achieving high-performance content delivery in large-scale dynamic network environments is still operationally challenging, especially when we have to consider the diverse application requirements. One emerging research trend is to explore the use of machine learning techniques to enhance content delivery quality. in this article, we review and discuss existing state of the art machine learning-based approaches on enhancing content delivery performance. Discussions in this article will benefit readers and help identify future research agendas and opportunities.

中文翻译：

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机器学习赋能内容交付：现状、挑战和机遇


移动设备拥有量的增加以及更快、更实惠的互联网速度等趋势推动了对移动设备上基于媒体的服务的巨大需求。人们一直强调内容交付网络来支持基于媒体的服务。然而，在大规模动态网络环境中实现高性能内容交付在操作上仍然具有挑战性，特别是当我们必须考虑多样化的应用需求时。一种新兴的研究趋势是探索使用机器学习技术来提高内容交付质量。在本文中，我们回顾并讨论了现有的基于机器学习的最先进的增强内容交付性能的方法。本文中的讨论将使读者受益，并有助于确定未来的研究议程和机会。