IDEAS home Printed from https://ideas.repec.org/a/igg/jaec00/v8y2017i3p53-73.html
   My bibliography  Save this article

Receiver Initiated Deadline Aware Load Balancing Strategy (RDLBS) for Cloud Environment

Author

Listed:
  • Raza Abbas Haidri

    (School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India)

  • Chittaranjan Padmanabh Katti

    (School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India)

  • Prem Chandra Saxena

    (School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India)

Abstract

The emerging cloud computing technology is the attention of both commercial and academic spheres. Generally, the cost of the faster resource is more than the slower ones, therefore, there is a trade-off between deadline and cost. In this paper, the authors propose a receiver initiated deadline aware load balancing strategy (RDLBS) which tries to meet the deadline of the requests and optimizes the rate of revenue. RDLBS balances the load among the virtual machines (VMs) by migrating the request from the overloaded VMs to underloaded VMs. Turnaround time is also computed for the performance evaluation. The experiments are conducted by using CloudSim simulator and results are compared with existing state of art algorithms with similar objectives.

Suggested Citation

  • Raza Abbas Haidri & Chittaranjan Padmanabh Katti & Prem Chandra Saxena, 2017. "Receiver Initiated Deadline Aware Load Balancing Strategy (RDLBS) for Cloud Environment," International Journal of Applied Evolutionary Computation (IJAEC), IGI Global, vol. 8(3), pages 53-73, July.
  • Handle: RePEc:igg:jaec00:v:8:y:2017:i:3:p:53-73
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAEC.2017070103
    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:jaec00:v:8:y:2017:i:3:p:53-73. 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.