Resource optimization and delay guarantee service function chain mapping strategy of Aviation Information Network

Abstract

The Aviation Information Network (AIN) scenario has the characteristics of services bursting, diverse types and delay sensitivity. To solve the service function chain (SFC) mapping problem, this paper proposes a SFC mapping algorithm based on network function virtualization (NFV). Firstly, the SFCs are deployed in the platforms with high relativity, and then the network function instances are integrated and migrated considering the impact of service delay and business traffic, to reduce the network energy consumption and improve the resource utilization. The simulation results show that the proposed approach can effectively optimize the network performance in terms of the running platform numbers, SFCR acceptance rate, and the network resource consumption while guaranteeing the service delay requirements, which is suitable for solving the SFC mapping problem in the AIN scenarios.