Research on the strategy of service function chain migration of aviation information network
Haotong Fu, Yongjun Li, Hanling Tang, Xiang Wang, Shanghong Zhao · 2023
In view of the problem faced in Aviation Information Network (AIN) that the unbalanced load of platforms caused by the dynamically arrived service function chains (SFCs), we formulate the SFC migration problem into a multi-objective optimization model and propose a coalitional game based migration algorithm (CGM). In this paper, we take the aviation platform as the game player, the virtual network function (VNF) as the game commodity, and perform the migration of VNFs through the comparation and swap between different platforms to realize the efficient management of network resources. Experimental results show that the proposed algorithm has the advantages of low computational complexity and fast convergence rate, which can effectively reduce the network energy consumption and migration overhead.