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Research on Partition Technology of Real-Time Database in Big Data Environment

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Recent Developments in Intelligent Computing, Communication and Devices (ICCD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1185))

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Abstract

Big data technology has brought positive changes to the development of the Internet, but its massive data is a severe test to the database system. In order to achieve higher performance and higher quality of data processing, this paper uses the method of flow calculation to realize the partition management of database and effectively improve the comprehensive load of database server.

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References

  1. Zhang, Y., Yu, J., Lu, L., et al.: Big data stream computing framework, Heron based classification task scheduling strategy. Comput. Appl. 39(4), 178–188 (2019)

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Author information

Authors and Affiliations

  1. Nanchang Institute of Technology, Nanchang, China

    Yuxuan Li & Suling Li

Authors
  1. Yuxuan Li
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  2. Suling Li
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Corresponding author

Correspondence to Yuxuan Li .

Editor information

Editors and Affiliations

  1. Department of Supply Chain and Information Management (SCM), The Hang Seng University of Hong Kong (HSUHK), Shatin, New Territories, Hong Kong

    C. H. WU

  2. Department of Computer Science and Engineering, Faculty of Engineering and Technology, Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India

    Srikanta PATNAIK

  3. Information and Communication Engineering, Faculty Automatic Control and Computer Science, University of Oradea, Oradea, Romania

    Florin POPENTIU VLÃDICESCU

  4. School of Human Science and Environment, University of Hyogo, Himeji, Japan

    Kazumi NAKAMATSU

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Li, Y., Li, S. (2021). Research on Partition Technology of Real-Time Database in Big Data Environment. In: WU, C.H., PATNAIK, S., POPENTIU VLÃDICESCU, F., NAKAMATSU, K. (eds) Recent Developments in Intelligent Computing, Communication and Devices. ICCD 2019. Advances in Intelligent Systems and Computing, vol 1185. Springer, Singapore. https://doi.org/10.1007/978-981-15-5887-0_3

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