IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v4y2018i2idhcseit184171.html

A Novel Approach for Resource Allocation with Efficient Load Balancing in Cloud Environment

Author

Listed:
  • G. Sowjanya

Abstract

Our framework depends on a monetary way to deal with overseeing shared server resources, in which services offer for resources as a component of conveyed performance. The plan and performance of resource service in a facilitating focus working framework, with an accentuation on energy as a driving resource service issue for huge server groups. A cloud application because of a demand steady with the service level agreements (SLA). Scaling is the way toward dispensing extra resources to a demand predictable with the SLA. So this task proposing, an energy-optimal activity demonstrates utilized for load balancing and application scales on a cloud. Our approach is planning an energy ideal task service and endeavoring to boost the quantity of servers working in this service. The objectives are to arrangement server resources for services in a way that naturally adjusts to offered stack, enhance the energy effectiveness of server by powerfully resizing the dynamic server set, and react to control supply interruptions or warm occasions by corrupting service.

Suggested Citation

  • G. Sowjanya, 2018. "A Novel Approach for Resource Allocation with Efficient Load Balancing in Cloud Environment," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 4(2), pages 365-369, April.
    • Handle: RePEc:jbh:ijsrcs:v4:y2018:i2:id:hcseit184171
    Note: Article URL: https://ijsrcseit.com/CSEIT184171
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT184171
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/paper/CSEIT184171.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:jbh:ijsrcs:v4:y2018:i2:id:hcseit184171. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.