IDEAS home Printed from https://ideas.repec.org/a/igg/jcac00/v12y2022i1p1-19.html
   My bibliography  Save this article

Multi-Cloud Service Brokers for Selecting the Optimal Data Center in Cloud Environment

Author

Listed:
  • Mousa Elrotub

    (École de Technologie Supérieure, Canada)

  • Abdelouahed Gherbi

    (École de Technologie Supérieure, Canada)

Abstract

Cloud computing provides different services through data centers that are often located in different geographical locations. The users are faced with a wide variety of services to choose from. Also, with the increasing number of serviced applications, overloading might occur on service brokers for balancing and serving the requests. Consequently, maximizing the number of entry points and considering the maximum number of factors that affect the performance for balancing the workload is very important for the quality of service. This paper proposes a model named multi-cloud service brokers (MCSB) for selecting the optimal DC using multiple entry points. The developed service broker policy shares information about the requests considering some new performance factors. This extension is added to the CloudAnalyst simulator tool which is used in this work, and the results are evaluated and compared to other existing policies from the literature.

Suggested Citation

  • Mousa Elrotub & Abdelouahed Gherbi, 2022. "Multi-Cloud Service Brokers for Selecting the Optimal Data Center in Cloud Environment," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 12(1), pages 1-19, January.
  • Handle: RePEc:igg:jcac00:v:12:y:2022:i:1:p:1-19
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCAC.309935
    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:12:y:2022:i:1:p:1-19. 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.