IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v13y2021i12p314-d701496.html
   My bibliography  Save this article

An Experimental Performance Evaluation of Cloud-API-Based Applications

Author

Listed:
  • Yara Abuzrieq

    (Faculty of Information Technology, Philadelphia University, P.O. Box 1, Amman 19392, Jordan)

  • Amro Al-Said Ahmad

    (Faculty of Information Technology, Philadelphia University, P.O. Box 1, Amman 19392, Jordan
    School of Computing and Mathematics, Keele University, Newcastle-under-Lyme ST5 5BG, UK)

  • Maram Bani Younes

    (Faculty of Information Technology, Philadelphia University, P.O. Box 1, Amman 19392, Jordan)

Abstract

Cloud Application Programming Interfaces (APIs) have been developed to link several cloud computing applications together. API-based applications are widely used to provide flexible and reliable services over cloud platforms. Recently, a huge number of services have been attached to cloud platforms and widely utilized during a very short period of time. This is due to the COVID-19 lockdowns, which forced several businesses to switch to online services instantly. Several cloud platforms have failed to support adequate services, especially for extended and real-time-based applications. Early testing of the available platforms guarantees a level of suitability and reliability for the uploaded services. In this work, we first selected two different API-based applications from education and professional taxonomies, the two most recently used applications that have switched to the cloud environment. Then, we aimed to evaluate the performance of different API-based applications under different cloud platforms, in order to measure and validate the ability of these platforms to support these services. The advantages and drawbacks of each platform were experimentally investigated for each application.

Suggested Citation

  • Yara Abuzrieq & Amro Al-Said Ahmad & Maram Bani Younes, 2021. "An Experimental Performance Evaluation of Cloud-API-Based Applications," Future Internet, MDPI, vol. 13(12), pages 1-12, December.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:12:p:314-:d:701496
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/13/12/314/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/13/12/314/
    Download Restriction: no
    ---><---

    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:gam:jftint:v:13:y:2021:i:12:p:314-:d:701496. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.