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International Conference on Geo-Informatics in Sustainable Ecosystem and Society

GSES 2018: Geo-informatics in Sustainable Ecosystem and Society pp 51–61Cite as

Optimized Data Organization of Land Cover Survey Based on Redis Memory Database

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 980))

Abstract

Land cover change survey plays an important role in the sustainable development of the national economy. In view of the increasing amount of land change survey data, the service response time increases. At the same time, the size of data cannot satisfy scale of distributed GIS. According to the characteristics of the land change survey data, this paper studies the change survey data storage strategy based on Redis memory database, and puts forward a traditional server framework, use Redis as a buffer layer of the back-end service framework, and validated it. The results show that the data organization strategy based on Redis significantly improve the response speed of the back-end service, and has better ability to deal with concurrency, the use of a certain significance in the land change survey. Compared with several memory substitution strategies, LRU (Least Recently Used) can make the cache layer have higher cache hit ratio.

J. Liu—Male, Master degree candidate, studies in the application of GIS.

Foundation support: Shandong province key research and development project (2016GSF117017).

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Acknowledgments

This work was supported in part by a grant from the National Science Foundation of China (41471330).

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Authors and Affiliations

  1. School of Surveying Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, Shan Dong, China

    Jia Liu & Min Ji

Authors
  1. Jia Liu
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  2. Min Ji
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Corresponding author

Correspondence to Min Ji .

Editor information

Editors and Affiliations

  1. Eastern Michigan University, Ypsilanti, MI, USA

    Yichun Xie

  2. Hebei University of Engineering, Handan, China

    Anbing Zhang

  3. Hebei University of Engineering, Handan, Hebei, China

    Haixin Liu

  4. Hebei University of Engineering, Handan, China

    Lili Feng

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Liu, J., Ji, M. (2019). Optimized Data Organization of Land Cover Survey Based on Redis Memory Database. In: Xie, Y., Zhang, A., Liu, H., Feng, L. (eds) Geo-informatics in Sustainable Ecosystem and Society. GSES 2018. Communications in Computer and Information Science, vol 980. Springer, Singapore. https://doi.org/10.1007/978-981-13-7025-0_5

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  • DOI: https://doi.org/10.1007/978-981-13-7025-0_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7024-3

  • Online ISBN: 978-981-13-7025-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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