IDEAS home Printed from https://ideas.repec.org/a/ids/ijnvor/v25y2021i1p1-13.html
   My bibliography  Save this article

Priority-based energy efficient multi queue heuristic scheduling for intensive data in cloud computing (PB-EES)

Author

Listed:
  • V. Vignesh
  • R. Santhosh

Abstract

In general the problem-solving strategies used in heuristic approaches are different compared to conventional algorithms. They differ in handling the issues in different operating conditions thereby it enhances the overall performance of the system. In this research paper we have also implemented a heuristic scheduling approach in cloud computing environment to improve the energy efficiency. Since cloud needs a better scheduling module for intense data applications this proposed priority-based energy efficient multi queue heuristic scheduling model is suitable and provides efficient scheduling with minimum energy. Experimental results are compared with greedy and load balancing scheduler algorithms to prove that proposed model achieves 93.45% of energy efficiency.

Suggested Citation

  • V. Vignesh & R. Santhosh, 2021. "Priority-based energy efficient multi queue heuristic scheduling for intensive data in cloud computing (PB-EES)," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 25(1), pages 1-13.
    • Handle: RePEc:ids:ijnvor:v:25:y:2021:i:1:p:1-13
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=117752
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijnvor:v:25:y:2021:i:1:p:1-13. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=22 .

    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.