A Dynamic Service Reconfiguration Method for Satellite–Terrestrial Integrated Networks

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 e...

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Bibliographic Details
Published inFuture internet Vol. 13; no. 10; p. 260
Main Authors Qiao, Wenxin, Lu, Hao, Lu, Yu, Meng, Lijie, Liu, Yicen
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.10.2021
Subjects
Cloud computing
Efficiency
Energy consumption
Fuzzy logic
Genetic algorithms
Integer programming
Internet of Things
Linear programming
Optimization
Optimization algorithms
Provisioning
Quality of service
quantum genetic algorithm
Reconfiguration
Satellites
satellite–terrestrial integrated networks
SDN/NFV
service migration
Simulation
Software-defined networking
User requirements
Vehicles
Virtual networks
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Summary: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.
ISSN:1999-5903
1999-5903
DOI:10.3390/fi13100260