摘要
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.
| 源语言 | 英语 |
|---|---|
| 文章编号 | 9220172 |
| 页(从-至) | 228-234 |
| 页数 | 7 |
| 期刊 | IEEE Network |
| 卷 | 34 |
| 期 | 6 |
| DOI | |
| 出版状态 | 已出版 - 1 11月 2020 |
指纹
探究 'Machine Learning Empowered Content Delivery: Status, Challenges, and Opportunities' 的科研主题。它们共同构成独一无二的指纹。引用此
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