IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i5p1611-d146911.html
   My bibliography  Save this article

Computation Offloading Algorithm for Arbitrarily Divisible Applications in Mobile Edge Computing Environments: An OCR Case

Author

Listed:
  • Bo Li

    (School of Information Science and Engineering, Yunnan University, Kunming 650091, China)

  • Min He

    (School of Information Science and Engineering, Yunnan University, Kunming 650091, China)

  • Wei Wu

    (College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China)

  • Arun Kumar Sangaiah

    (School of Computing Science and Engineering, Vellore Institute of Technology (VIT), Vellore 632014, India)

  • Gwanggil Jeon

    (Department of Embedded Systems Engineering, Incheon National University, Incheon 22012, Korea)

Abstract

Divisible applications are a class of tasks whose loads can be partitioned into some smaller fractions, and each part can be executed independently by a processor. A wide variety of divisible applications have been found in the area of parallel and distributed processing. This paper addresses the problem of how to partition and allocate divisible applications to available resources in mobile edge computing environments with the aim of minimizing the completion time of the applications. A theoretical model was proposed for partitioning an entire divisible application according to the load of the application and the capabilities of available resources, and the solutions were derived in closed form. Both simulations and real experiments were carried out to justify this model.

Suggested Citation

  • Bo Li & Min He & Wei Wu & Arun Kumar Sangaiah & Gwanggil Jeon, 2018. "Computation Offloading Algorithm for Arbitrarily Divisible Applications in Mobile Edge Computing Environments: An OCR Case," Sustainability, MDPI, vol. 10(5), pages 1-14, May.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1611-:d:146911
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/5/1611/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/5/1611/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mohamed Elhoseny & Mohammad Siraj & Khalid Haseeb & Muhammad Nawaz & Majid Altamimi & Mohammed I. Alghamdi, 2022. "Energy-Efficient Mobile Agent Protocol for Secure IoT Sustainable Applications," Sustainability, MDPI, vol. 14(14), pages 1-13, July.
    2. Yousaf Bin Zikria & Sung Won Kim & Muhammad Khalil Afzal & Haoxiang Wang & Mubashir Husain Rehmani, 2018. "5G Mobile Services and Scenarios: Challenges and Solutions," Sustainability, MDPI, vol. 10(10), pages 1-9, October.

    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:jsusta:v:10:y:2018:i:5:p:1611-:d:146911. 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.