IDEAS home Printed from https://ideas.repec.org/a/igg/jcac00/v4y2014i4p1-6.html
   My bibliography  Save this article

Cloud Adaptive Resource Allocation Mechanism for Efficient Parallel Processing

Author

Listed:
  • Manisha Malhotra

    (Chandigarh University, Gharuan, Mohali, India)

  • Rahul Malhotra

    (Chandigarh University, Gharuan, Mohali, India)

Abstract

As cloud based services becomes more assorted, resource provisioning becomes more challenges. This is an important issue that how resource may be allocated. The cloud environment offered distinct types of virtual machines and cloud provider distribute those services. This is necessary to adjust the allocation of services with the demand of user. This paper presents an adaptive resource allocation mechanism for efficient parallel processing based on cloud. Using this mechanism the provider's job becomes easier and having the least chance for the wastage of resources and time.

Suggested Citation

  • Manisha Malhotra & Rahul Malhotra, 2014. "Cloud Adaptive Resource Allocation Mechanism for Efficient Parallel Processing," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 4(4), pages 1-6, October.
  • Handle: RePEc:igg:jcac00:v:4:y:2014:i:4:p:1-6
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014100101
    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:4:p:1-6. 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.