4.7 Article

Data-Driven Intelligent Future Network: Architecture, Use Cases, and Challenges

期刊

IEEE COMMUNICATIONS MAGAZINE
卷 57, 期 7, 页码 34-40

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MCOM.2019.1800769

关键词

Network architecture; Optimization; Big Data; Internet; Computer architecture; 5G mobile communication; Engines

资金

  1. National Natural Science Foundation of China [61601330, 61872310, 6170100]
  2. Scientific Research Plan of Beijing Municipal Commission of Education [KM201910005026, KM201510005006, KM201610005004]
  3. International Research Cooperation Seed Fund of Beijing University of Technology [2018B03]

向作者/读者索取更多资源

With the explosive growth of network traffic, content delivery in the Internet is an increasing concern. To fundamentally deal with this problem, in this article, we propose a data-driven intelligent future network from the perspectives of design philosophy, architecture, and use cases, respectively. The novel proposal fully absorbs the advantages of future network architectures and technologies, and efficiently improves the utilization of system resources and realizes intelligent content distribution while meeting the demands of network services. Moreover, we also outline some challenges and future research directions in this field

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