IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v80y2022i2d10.1007_s11235-022-00892-4.html
   My bibliography  Save this article

An end-to-end software-defined network framework and optimal service development model for SAGN

Author

Listed:
  • Wenliang Lin

    (Beijing University of Posts and Telecommunications
    Science and Technology on Communication Networks Laboratory, 54Th Institute, CETC)

  • Yilie He

    (Beijing University of Posts and Telecommunications)

  • Zhongliang Deng

    (Beijing University of Posts and Telecommunications)

  • Ke Wang

    (Beijing University of Posts and Telecommunications)

  • Bin Jin

    (Beijing University of Posts and Telecommunications)

  • Xiaotian Zhou

    (Science and Technology on Communication Networks Laboratory, 54Th Institute, CETC)

Abstract

One goal of the sixth generation (6 G) is to extend the communication abilities of a Gbps bitrate, low latency and high reliability to global areas. The Space-Air-Ground Network (SAGN) is a promising scheme. Deterministic services in SAGN are very important for network providers, but service conflicts and a lack of end-to-end feature abstractions restrict the development of more services and applications. Abstracting the network features to design service components and abilities is the key issue. Therefore, this paper proposes a new service development scheme for SAGNs, which provides global service components and abilities based on a microservice framework for different networks. We explore the unified feature description method based on the ground state, which decouples the network element function (NEF) from different end-to-end networks. A convex optimisation model based on reversible driving factors is designed for the service developments model, which can optimise the choreographies and combinations of the services in SAGN. A feature compression method based on equivalent mapping service description and orbital shrinking is proposed to improve the development efficiency of SAGN services. Simulations and tests are conducted to examine the performance enhancement of services, which improves the service generating speed by 14.5% and the service conflict rate by 23.4%.

Suggested Citation

  • Wenliang Lin & Yilie He & Zhongliang Deng & Ke Wang & Bin Jin & Xiaotian Zhou, 2022. "An end-to-end software-defined network framework and optimal service development model for SAGN," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 80(2), pages 153-167, June.
  • Handle: RePEc:spr:telsys:v:80:y:2022:i:2:d:10.1007_s11235-022-00892-4
    DOI: 10.1007/s11235-022-00892-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-022-00892-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11235-022-00892-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. João Bourbon Moreira & Henrique Mamede & Vasco Pereira & Bruno Sousa, 2020. "Next generation of microservices for the 5G Service‐Based Architecture," International Journal of Network Management, John Wiley & Sons, vol. 30(6), November.
    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.

      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:telsys:v:80:y:2022:i:2:d:10.1007_s11235-022-00892-4. 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: 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.