Dynamic resource allocation of network function virtualization for Space-Air-Ground Integrated Energy Internet

Space-air-ground integrated network is the promising solution for the data communication of the emerging energy internet. By decoupling network functions from the underlying dedicated hardware and realizing those in the form of software, Network Functions Virtualization, provide benefits of reduction of Capital Expenditure and Operation Expense, improved flexibility of service provision, is the enabling technology to meet the diver’s services requirement of Space-air-ground integrated energy internet. In this paper, resource allocation for Network Functions Virtualization of Space-air-ground integrated energy internet is considered. A queuing based model is employed to match the service function chain to the available system resources. A Genetic based VNF deployment algorithm is proposed and numerical results validate it superior’s performance.