IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v11y2019i11p238-d286583.html
   My bibliography  Save this article

Software Architecture for Mobile Cloud Computing Systems

Author

Listed:
  • Abdulrahman Alreshidi

    (College of Computer Science and Engineering, University of Ha’il, Ha’il 2440, Saudi Arabia)

  • Aakash Ahmad

    (College of Computer Science and Engineering, University of Ha’il, Ha’il 2440, Saudi Arabia)

  • Ahmed B. Altamimi

    (College of Computer Science and Engineering, University of Ha’il, Ha’il 2440, Saudi Arabia)

  • Khalid Sultan

    (College of Engineering and Applied Sciences, American University of Kuwait, Salmiya 13034, Kuwait)

  • Rashid Mehmood

    (High Performance Computing Center, King Abdul Aziz University, Jeddah 21589, Saudi Arabia)

Abstract

Mobile cloud computing (MCC) has recently emerged as a state-of-the-art technology for mobile systems. MCC enables portable and context-aware computation via mobile devices by exploiting virtually unlimited hardware and software resources offered by cloud computing servers. Software architecture helps to abstract the complexities of system design, development, and evolution phases to implement MCC systems effectively and efficiently. This paper aims to identify, taxonomically classify, and systematically map the state of the art on architecting MCC-based software. We have used an evidence-based software engineering (EBSE) approach to conduct a systematic mapping study (SMS) based on 121 qualitatively selected research studies published from 2006 to 2019. The results of the SMS highlight that architectural solutions for MCC systems are mainly focused on supporting (i) software as a service for mobile computing, (ii) off-loading mobile device data to cloud-servers, (iii) internet of things, edge, and fog computing along with various aspects like (iv) security and privacy of mobile device data. The emerging research focuses on the existing and futuristic challenges that relate to MCC-based internet of things (IoTs), mobile-cloud edge systems, along with green and energy-efficient computing. The results of the SMS facilitate knowledge transfer that could benefit researchers and practitioners to understand the role of software architecture to develop the next generation of mobile-cloud systems to support internet-driven computing.

Suggested Citation

  • Abdulrahman Alreshidi & Aakash Ahmad & Ahmed B. Altamimi & Khalid Sultan & Rashid Mehmood, 2019. "Software Architecture for Mobile Cloud Computing Systems," Future Internet, MDPI, vol. 11(11), pages 1-35, November.
  • Handle: RePEc:gam:jftint:v:11:y:2019:i:11:p:238-:d:286583
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/11/11/238/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/11/11/238/
    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:11:y:2019:i:11:p:238-:d:286583. 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.