IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v14y2021i1p13-d711700.html
   My bibliography  Save this article

DD-FoG: Intelligent Distributed Dynamic FoG Computing Framework

Author

Listed:
  • Volkov Artem

    (Department of Telecommunication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, 193232 Saint Petersburg, Russia)

  • Kovalenko Vadim

    (Department of Telecommunication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, 193232 Saint Petersburg, Russia)

  • Ibrahim A. Elgendy

    (Department of Computer Science, Faculty of Computers and Information, Menoufia University, Shibin el Kom 32511, Egypt)

  • Ammar Muthanna

    (Department of Telecommunication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, 193232 Saint Petersburg, Russia
    Department of Computer Science, RUDN University, Peoples’ Friendship University of Russia, 6 Miklukho-Maklaya Str., 117198 Moscow, Russia)

  • Andrey Koucheryavy

    (Department of Telecommunication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, 193232 Saint Petersburg, Russia)

Abstract

Nowadays, 5G networks are emerged and designed to integrate all the achievements of mobile and fixed communication networks, in which it can provide ultra-high data speeds and enable a broad range of new services with new cloud computing structures such as fog and edge. In spite of this, the complex nature of the system, especially with the varying network conditions, variety of possible mechanisms, hardware, and protocols, makes communication between these technologies challenging. To this end, in this paper, we proposed a new distributed and fog (DD-fog) framework for software development, in which fog and mobile edge computing (MEC) technologies and microservices approach are jointly considered. More specifically, based on the computational and network capabilities, this framework provides a microservices migration between fog structures and elements, in which user query statistics in each of the fog structures are considered. In addition, a new modern solution was proposed for IoT-based application development and deployment, which provides new time constraint services like a tactile internet, autonomous vehicles, etc. Moreover, to maintain quality service delivery services, two different algorithms have been developed to pick load points in the search mechanism for congestion of users and find the fog migration node. Finally, simulation results proved that the proposed framework could reduce the execution time of the microservice function by up to 70% by deploying the rational allocation of resources reasonably.

Suggested Citation

  • Volkov Artem & Kovalenko Vadim & Ibrahim A. Elgendy & Ammar Muthanna & Andrey Koucheryavy, 2021. "DD-FoG: Intelligent Distributed Dynamic FoG Computing Framework," Future Internet, MDPI, vol. 14(1), pages 1-19, December.
    • Handle: RePEc:gam:jftint:v:14:y:2021:i:1:p:13-:d:711700
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/14/1/13/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/14/1/13/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mashael Khayyat & Abdullah Alshahrani & Soltan Alharbi & Ibrahim Elgendy & Alexander Paramonov & Andrey Koucheryavy, 2020. "Multilevel Service-Provisioning-Based Autonomous Vehicle Applications," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ahmed Al-Ansi & Abdullah M. Al-Ansi & Ammar Muthanna & Ibrahim A. Elgendy & Andrey Koucheryavy, 2021. "Survey on Intelligence Edge Computing in 6G: Characteristics, Challenges, Potential Use Cases, and Market Drivers," Future Internet, MDPI, vol. 13(5), pages 1-23, April.

    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:14:y:2021:i:1:p:13-:d:711700. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.