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Research on XDR Bill Compression Under Big Data Technology

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Data Science (ICPCSEE 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 727))

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Abstract

Communication industry has been walking in front of the big data technology application. Some studies on precision-controlled compression method are carried on in this paper by using the big data technology based on the widely used XDR bill in communication industry. According to different application scenarios, this paper puts forward targeted compression strategy and technological implementation method and verify the high efficiency of associated method in practice. It solves the problem of occupying large storage and low analysis efficiency in areas like the storage of the massive XDR bill, pretreatment, aggregation. It provides valuable references for telecommunication-related researchers and engineering practitioner in respect of using the big data technology.

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Acknowledgements

This work is supported by Heilongjiang Provincial Education Department Science and Technology Research Project (No. 12531492). Many thanks to the anonymous reviewers, whose insightful comments made this a better paper.

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Authors and Affiliations

  1. Department of Electronic Engineering, Heilongjiang University, Harbin, Heilongjiang, China

    Bing Zhao & Sining Zhang

  2. Vixtel Technologies Holdings Limited, Beijing, China

    Jun Zheng

Authors
  1. Bing Zhao
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  2. Sining Zhang
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  3. Jun Zheng
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Corresponding author

Correspondence to Bing Zhao .

Editor information

Editors and Affiliations

  1. Central South University, Changsha, China

    Beiji Zou

  2. Central South University, Changsha, China

    Min Li

  3. Harbin Institute of Technology, Harbin, China

    Hongzhi Wang

  4. Harbin University of Science and Technology, Harbin, China

    Xianhua Song

  5. Harbin University of Science and Technology, Harbin, China

    Wei Xie

  6. Harbin Sea of Clouds and Computer Technology, Harbin, China

    Zeguang Lu

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Zhao, B., Zhang, S., Zheng, J. (2017). Research on XDR Bill Compression Under Big Data Technology. In: Zou, B., Li, M., Wang, H., Song, X., Xie, W., Lu, Z. (eds) Data Science. ICPCSEE 2017. Communications in Computer and Information Science, vol 727. Springer, Singapore. https://doi.org/10.1007/978-981-10-6385-5_13

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  • DOI: https://doi.org/10.1007/978-981-10-6385-5_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6384-8

  • Online ISBN: 978-981-10-6385-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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