IDEAS home Printed from https://ideas.repec.org/a/ids/ijores/v46y2023i3p289-322.html
   My bibliography  Save this article

Innovative cloud computing object-oriented model to unify heterogeneous data

Author

Listed:
  • Ra'ed M. Al-Khatib
  • Nidhal Kamel Taha El-Omari
  • Mohammed Azmi Al-Betar

Abstract

Nowadays, unifying heterogeneous databases has received a lot of attention. This paper presents a new object-oriented model to unify heterogeneous databases into one highly versatile database based on three phases: preprocessing phase in which the 'materialised view' (MV), is adopted to collect the data from multiple resources. The 'OODB-construction' phase includes a single unified database. The last phase, 'web-based and cloud computing', deploys the required services and disseminates them based on the cloud-hosted environment. In order to evaluate the proposed model, a real practical example was used. The efficiency of MV was analysed and compared against the normal-view. Then, comparative results are conducted to show the behaviour of our proposed model against other conventional database models. Thereafter, the performance of the adopted OODB model was compared against the RDB model. In conclusion, our proposed model achieved the best results with ×2.49 speed-up that minimising the overall execution time.

Suggested Citation

  • Ra'ed M. Al-Khatib & Nidhal Kamel Taha El-Omari & Mohammed Azmi Al-Betar, 2023. "Innovative cloud computing object-oriented model to unify heterogeneous data," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 46(3), pages 289-322.
    • Handle: RePEc:ids:ijores:v:46:y:2023:i:3:p:289-322
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=129410
    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:ijores:v:46:y:2023:i:3:p:289-322. 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=170 .

    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.