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Information System Function-Data Architecture Planning Based on Subspace Partition

In: Liss 2022

Author

Listed:
  • Yuwen Huo

    (University of Science and Technology Beijing)

  • Xuedong Gao

    (University of Science and Technology Beijing)

  • Ai Wang

    (University of Science and Technology Beijing)

Abstract

Under the background of big data, the development of enterprise business and the growth of data lead to the characteristics of enterprise information system with complex business functions, large amount of data, and sparse connection between functions and data. Therefore, dividing the information system structure based on the link between functions and data can effectively improve the construction and operation efficiency of enterprise information systems and facilitate system maintenance and management. However, the traditional information system planning method only focuses on the planning of the functions, and cannot plan a reasonable data structure at the same time. In order to solve the above problems, this study proposes A Information System Function-Data Architecture Planning Method that can simultaneously complete the information system function-data system planning. It takes the Function-Data Subspace Partition Algorithm as the core, and realizes the information system structure partition from the perspective of function and data at the same time.

Suggested Citation

  • Yuwen Huo & Xuedong Gao & Ai Wang, 2023. "Information System Function-Data Architecture Planning Based on Subspace Partition," Lecture Notes in Operations Research, in: Xiaopu Shang & Xiaowen Fu & Yixuan Ma & Daqing Gong & Juliang Zhang (ed.), Liss 2022, pages 75-88, Springer.
    • Handle: RePEc:spr:lnopch:978-981-99-2625-1_6
    DOI: 10.1007/978-981-99-2625-1_6
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