IDEAS home Printed from https://ideas.repec.org/a/igg/jcac00/v4y2014i1p63-75.html
   My bibliography  Save this article

Structural Analysis of Cloud Classifier

Author

Listed:
  • Anirban Kundu

    (Shenzhen Key Laboratory of Data Science and Modeling, Guangdong Key Laboratory of Meta-RF Microwave Radio Frequency, State Key Laboratory of Meta-RF Electromagnetic Modulation Technology, Kuang-Chi Institute of Advanced Technology, Shenzhen, China)

  • Guanxiong Xu

    (Shenzhen Key Laboratory of Data Science and Modeling, Guangdong Key Laboratory of Meta-RF Microwave Radio Frequency, State Key Laboratory of Meta-RF Electromagnetic Modulation Technology, Kuang-Chi Institute of Advanced Technology, Shenzhen, China)

  • Chunlin Ji

    (Shenzhen Key Laboratory of Data Science and Modeling, Guangdong Key Laboratory of Meta-RF Microwave Radio Frequency, State Key Laboratory of Meta-RF Electromagnetic Modulation Technology, Kuang-Chi Institute of Advanced Technology, Shenzhen, China)

Abstract

In this paper, structural analysis of Cloud classifier is going to be discussed to make a clear distinction between linear and non-linear Cloud structures. Cloud manager is responsible for managing different activities within Cloud using distinct fields. Cloud path protocol has been defined to disseminate information from one node to another in a efficient way. Broadcasting complexities of linear and non-linear Cloud are also being projected in this paper. Mathematical expressions have been established for defining different performance factors of the Cloud network. In practical scenario, non-linear Cloud structure is more relevant than a linear Cloud structure.

Suggested Citation

  • Anirban Kundu & Guanxiong Xu & Chunlin Ji, 2014. "Structural Analysis of Cloud Classifier," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 4(1), pages 63-75, January.
    • Handle: RePEc:igg:jcac00:v:4:y:2014:i:1:p:63-75
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010106
    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:jcac00:v:4:y:2014:i:1:p:63-75. 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.