IDEAS home Printed from https://ideas.repec.org/h/spr/csrchp/978-3-030-78941-1_17.html
   My bibliography  Save this book chapter

A Backup Model: (QoS Guaranteed and Less Consumed Energy) for Cloud SDN Using Neural Networks

In: Resilience, Entrepreneurship and ICT

Author

Listed:
  • Ammar Alsous

    (Carl von Ossietzky University of Oldenburg)

  • Jorge Marx Gómez

    (Carl von Ossietzky University of Oldenburg)

  • Manuel Mora

    (Autonomous University of Aguascalientes)

Abstract

Cloud services include significant benefits for the provider and the customer. It depends on the resource sharing concept, which is important to increase the resources utilization and to reduce the customer’s costs. Software Defined Networking (SDN) is a new networking paradigm. It is used to virtualize a network and offer it to several users as several networks. SDN paradigm supports “Green Networking” by reducing and reducing CO2 emissions. According to the performed literature review, cloud backup services (using SDN) still need enhancements regarding preserving Quality of Service (QoS) during the operation. This research focuses on the problem of performing a backup between data centers and guaranteeing the QoS at the same time. The proposed solution depends on finding a route between the source and destination nodes that satisfies the customer’s QoS criteria. It combined the concepts of SDN, cloud services, and guaranteed QoS together. AI techniques (neural networks) were used to check backup paths. With a comparison between 20 AI techniques, the research results were very promising. They showed that the results’ accuracy is high and neural networks are a very good option to adopt.

Suggested Citation

  • Ammar Alsous & Jorge Marx Gómez & Manuel Mora, 2021. "A Backup Model: (QoS Guaranteed and Less Consumed Energy) for Cloud SDN Using Neural Networks," CSR, Sustainability, Ethics & Governance, in: Jantje Halberstadt & Jorge Marx Gómez & Jean Greyling & Tulimevava Kaunapawa Mufeti & Helmut Faasch (ed.), Resilience, Entrepreneurship and ICT, pages 355-387, Springer.
    • Handle: RePEc:spr:csrchp:978-3-030-78941-1_17
    DOI: 10.1007/978-3-030-78941-1_17
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:csrchp:978-3-030-78941-1_17. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.