IDEAS home Printed from https://ideas.repec.org/a/igg/jeis00/v14y2018i2p87-97.html
   My bibliography  Save this article

Network System Structure Design for Data Centers in Large Enterprises Using Cloud Computing

Author

Listed:
  • Yongfang Chi

    (School of Internet Application, Shenyang City University, Shenyang, China)

Abstract

In this article, the author discusses the network system structure design for data centers in large enterprises using cloud computing. First, she designs a framework for a cloud data center in large enterprise systems. Second, she establishes the data center network frame based on software-defined networking (SDN) and the algorithm procedure. Third, she studies the moving algorithm of a virtual machine and the broadband allocation mechanism of a data center of a large enterprise network system along with the mathematical model. Finally, the author carries out the performance simulation analysis of the data center based on cloud computing. Finally, she carries out the performance comparison between the new data center at a large enterprise network system and traditional systems. The author shows that the new data center model in large enterprise network systems has a better network capacity and fault tolerance.

Suggested Citation

  • Yongfang Chi, 2018. "Network System Structure Design for Data Centers in Large Enterprises Using Cloud Computing," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 14(2), pages 87-97, April.
  • Handle: RePEc:igg:jeis00:v:14:y:2018:i:2:p:87-97
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEIS.2018040106
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:igg:jeis00:v:14:y:2018:i:2:p:87-97. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.