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Application of Big Data Processing Technology in the Intelligent Network Management System

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Book cover Web Technologies and Applications (APWeb 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9461))

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Abstract

In this paper, according to the requirements of China Telecom’s Network Planning and intelligent platform construction technology, we describe how to use big data technology to improve the processing efficiency of the massive network operation data, then analyze the characteristics and processing requirements of various data in the Intelligent Network Management system, propose reasonable solutions for large data processing, provide a guide for data processing of Network Operation Data Center in Intelligent Network Management platform in China Telecom.

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References

  1. 周平利,王燕川等,“集约化运营下智能网管体系规划研究”,《电信科学》, 6 (2014)

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Author information

Authors and Affiliations

  1. China Telecom Corporation Ltd. Guangzhou Research Institute, Guangzhou, China

    Pingli Zhou, Zhiming Yang, Ling Li & Shipeng Qiu

Authors
  1. Pingli Zhou
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  2. Zhiming Yang
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  3. Ling Li
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  4. Shipeng Qiu
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Corresponding author

Correspondence to Pingli Zhou .

Editor information

Editors and Affiliations

  1. Guangdong University of Technology, Guangzhou, Guangdong, China

    Ruichu Cai

  2. Research Institute of China Telecom Co., Guangzhou, China

    Kang Chen

  3. Wuhan University, Wuhan, China

    Liang Hong

  4. Advanced Digital Sciences Center, Singapore, Singapore

    Xiaoyan Yang

  5. East China Normal University, Shanghai, China

    Rong Zhang

  6. Peking University, Beijing, China

    Lei Zou

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© 2015 Springer International Publishing Switzerland

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Zhou, P., Yang, Z., Li, L., Qiu, S. (2015). Application of Big Data Processing Technology in the Intelligent Network Management System. In: Cai, R., Chen, K., Hong, L., Yang, X., Zhang, R., Zou, L. (eds) Web Technologies and Applications. APWeb 2015. Lecture Notes in Computer Science(), vol 9461. Springer, Cham. https://doi.org/10.1007/978-3-319-28121-6_3

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  • DOI: https://doi.org/10.1007/978-3-319-28121-6_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28120-9

  • Online ISBN: 978-3-319-28121-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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