IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v12y2021i4d10.1007_s13198-021-01093-z.html
   My bibliography  Save this article

Engineering operation management technology based on network automation configuration visualization

Author

Listed:
  • Zhifeng Ji

    (Yantai Vocational College)

Abstract

This study designed a visual management software for WIA-PA network. Firstly, based on the characteristics of WIA-PA network, the main functions and design requirements of visual management software are analyzed. Then the decoupling between modules and the network topology layout algorithm are designed. The traditional register mode is improved to form index mode, and the software development is realized with builder mode. The model can effectively decouple from packet analysis, data storage and application, and has good hardware platform compatibility. Based on the improved tension repulsion model, a heuristic network topology layout algorithm based on node attributes is designed. When the number of devices is 21, 41, 81 and 161, the execution time of the algorithm is 31MS, 62 ms, 109 ms and 250 ms respectively. The algorithm has the best performance in solving the network layout with less than 100 devices, and the network topology layout is clearer, which provides an important support for the hardware platform compatibility of visual management software.

Suggested Citation

  • Zhifeng Ji, 2021. "Engineering operation management technology based on network automation configuration visualization," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(4), pages 765-775, August.
  • Handle: RePEc:spr:ijsaem:v:12:y:2021:i:4:d:10.1007_s13198-021-01093-z
    DOI: 10.1007/s13198-021-01093-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-021-01093-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13198-021-01093-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Santiago Criollo-C & Jaime Govea & Washington Játiva & Jose Pierrottet & Andrea Guerrero-Arias & Ángel Jaramillo-Alcázar & Sergio Luján-Mora, 2023. "Towards the Integration of Emerging Technologies as Support for the Teaching and Learning Model in Higher Education," Sustainability, MDPI, vol. 15(7), pages 1-17, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:12:y:2021:i:4:d:10.1007_s13198-021-01093-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.