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Machine Learning Empowered Content Delivery: Status, Challenges, and Opportunities

  • Zhihui Lu
  • , Keke Gai*
  • , Qiang Duan
  • , Kim Kwang Raymond Choo
  • , Junnan Li
  • , Jie Wu
  • , Yajing Xu
  • *此作品的通讯作者
  • Fudan University
  • Pennsylvania State University
  • University of Texas at San Antonio

科研成果: 期刊稿件文章同行评审

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
34
6
DOI
出版状态已出版 - 1 11月 2020

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