IDEAS home Printed from https://ideas.repec.org/a/igg/jitwe0/v14y2019i1p27-41.html
   My bibliography  Save this article

An Approach for Load Balancing in Cloud Computing Using JAYA Algorithm

Author

Listed:
  • Subhadarshini Mohanty

    (Department of Computer Science and Engineering, Siksha O Anusandhan University, Bhubaneswar, India)

  • Prashanta Kumar Patra

    (Department of Computer Science and Engineering, College of Engineering and Technology, Bhubaneswar, India)

  • Mitrabinda Ray

    (Department of Computer Science and Engineering, Siksha O Anusandhan University, Bhubaneswar, India)

  • Subasish Mohapatra

    (Department of Computer Science and Engineering, College of Engineering and Technology, Bhubaneswar, India)

Abstract

Cloud computing is a jargon in the era of information technology. It acts as a metaphor for the internet. Still, it possesses several challenges related to automated resource provisioning, security, event content dissemination, server consolidation, virtual machine migration. Load balancing is one of the critical challenges in the cloud that are faced by the enterprises. Here the basic objective of load balancing is to minimize response time, data center service request time, and improve the overall performance of the system. In this article, a JAYA algorithm is used for load balancing in a cloud which uses less control parameters and provides a better optimized result. Comparisons are made with other evolutionary approaches to observe the efficiency of the proposed algorithm.

Suggested Citation

  • Subhadarshini Mohanty & Prashanta Kumar Patra & Mitrabinda Ray & Subasish Mohapatra, 2019. "An Approach for Load Balancing in Cloud Computing Using JAYA Algorithm," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 14(1), pages 27-41, January.
    • Handle: RePEc:igg:jitwe0:v:14:y:2019:i:1:p:27-41
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJITWE.2019010102
    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:jitwe0:v:14:y:2019:i:1:p:27-41. 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.