IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v12y2016i11p1550147716676554.html
   My bibliography  Save this article

Resource management model based on cloud computing environment

Author

Listed:
  • Ahyoung Kim
  • Junwoo Lee
  • Mucheol Kim

Abstract

In this article, we propose the dynamic resources management model in a cloud computing environment. For monitoring the certain resource, we should utilize not only a cloud management module but also a network management module. However, it is difficult to check the duration time and to observe the digested information about the resources. To investigate these problems in a cloud computing environment, we designed and deployed the cloud service infrastructure based on open-source software, namely, CloudStack. The proposed model regularly stores the usage data for computing resources based on Hadoop and HBase. In addition, our model analyzes the raw data for virtual machines and makes an effective recommendation regarding the consumption of computing resources.

Suggested Citation

  • Ahyoung Kim & Junwoo Lee & Mucheol Kim, 2016. "Resource management model based on cloud computing environment," International Journal of Distributed Sensor Networks, , vol. 12(11), pages 15501477166, November.
    • Handle: RePEc:sae:intdis:v:12:y:2016:i:11:p:1550147716676554
    DOI: 10.1177/1550147716676554
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147716676554
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1550147716676554?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
    ---><---

    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:12:y:2016:i:11:p:1550147716676554. 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: 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.