IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v13y2021i10p260-d652633.html
   My bibliography  Save this article

A Dynamic Service Reconfiguration Method for Satellite–Terrestrial Integrated Networks

Author

Listed:
  • Wenxin Qiao

    (Shijiazhuang Campus, Army Engineering University, Shijiazhuang 050003, China)

  • Hao Lu

    (Beijing Aerospace Flight Control Center, Beijing 100094, China
    Beijing Space Information Relay Transmission Technology Research Center, Beijing 100094, China)

  • Yu Lu

    (Shijiazhuang Campus, Army Engineering University, Shijiazhuang 050003, China)

  • Lijie Meng

    (North Automatic Control Technology Institute, Taiyuan 030006, China)

  • Yicen Liu

    (Shijiazhuang Campus, Army Engineering University, Shijiazhuang 050003, China)

Abstract

Satellite–terrestrial integrated networks (STINs) are regarded as a promising solution to meeting the demands of global high-speed seamless network access in the future. Software-defined networking and network function virtualization (SDN/NFV) are two complementary technologies that can be used to ensure that the heterogeneous resources in STINs can be easily managed and deployed. Considering the dual mobility of satellites and ubiquitous users, along with the dynamic requirements of user requests and network resource states, it is challenging to maintain service continuity and high QoE performance in STINs. Thus, we investigate the service migration and reconfiguration scheme, which are of great significance to the guarantee of continuous service provisioning. Specifically, this paper proposes a dynamic service reconfiguration method that can support flexible service configurations on integrated networks, including LEO satellites and ground nodes. We first model the migration cost as an extra delay incurred by service migration and reconfiguration and then formulate the selection processes of the location and migration paths of virtual network functions (VNFs) as an integer linear programming (ILP) optimization problem. Then, we propose a fuzzy logic and quantum genetic algorithm (FQGA) to obtain an approximate optimal solution that can accelerate the solving process efficiently with the benefits of the high-performance computing capacity of QGA. The simulation results validate the effectiveness and improved performance of the scheme proposed in this paper.

Suggested Citation

  • Wenxin Qiao & Hao Lu & Yu Lu & Lijie Meng & Yicen Liu, 2021. "A Dynamic Service Reconfiguration Method for Satellite–Terrestrial Integrated Networks," Future Internet, MDPI, vol. 13(10), pages 1-17, October.
  • Handle: RePEc:gam:jftint:v:13:y:2021:i:10:p:260-:d:652633
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/13/10/260/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/13/10/260/
    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:13:y:2021:i:10:p:260-:d:652633. 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.