IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v15y2019i7p1550147719860416.html
   My bibliography  Save this article

Research on multi-attribute controller for virtual data domain based on software definition network

Author

Listed:
  • Jianmin Wang
  • Bo Zhang
  • Tongrang Fan
  • Zijian Fu
  • Wenbin Zhao

Abstract

Currently, large data sets are deployed on large-scale clusters, which require a large amount of physical resources. However, current network architecture does not have flexible deployment, making it difficult to adjust physical resources after deployment. Based on software definition network, this article proposes a framework for building virtual data domain, which establishes a multi-attribute decision model by network nodes for optimizing the deployment of control layer, so as to realize large-scale deployment. By analyzing the actual usage and virtual distribution of the underlying data resources, a mapping algorithm of network resource overhead–allocation ratio is proposed for adjusting the mapping space of network flow based on the mapping result, so as to meet more virtual domain applications. At the same time, the reasonable utilization of resources is helpful to reduce the communication delay in domain. Simulation results show that compared with the shortest path mapping and greedy resource mapping algorithms, the virtual domain established by the network resource overhead–allocation algorithm can improve the resource utilization rate by 10% and reduce the intra-domain communication delay by 30%. Therefore, under the background of the expanding scale of data domain, this framework can solve the problem that the current backward network architecture cannot adapt to the development trend of the information field.

Suggested Citation

  • Jianmin Wang & Bo Zhang & Tongrang Fan & Zijian Fu & Wenbin Zhao, 2019. "Research on multi-attribute controller for virtual data domain based on software definition network," International Journal of Distributed Sensor Networks, , vol. 15(7), pages 15501477198, July.
  • Handle: RePEc:sae:intdis:v:15:y:2019:i:7:p:1550147719860416
    DOI: 10.1177/1550147719860416
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147719860416
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1550147719860416?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
    ---><---

    References listed on IDEAS

    as
    1. Wenbin Zhao & Zhixian Yin & Tongrang Fan & Jishuang Luo, 2019. "Research on influence spread of scientific research team based on scientific factor quantification of big data," International Journal of Distributed Sensor Networks, , vol. 15(4), pages 15501477198, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:sae:intdis:v:15:y:2019:i:7:p:1550147719860416. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: SAGE Publications (email available below). General contact details of provider: .

      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.