On Optimal Resource Allocation of VAV Customized Cloud Platform Based on Bi-level Programming

Aiming at the optimal resource allocation of UAV customized cloud platform (UAV -CCM), this paper considers the sustainability of cloud platform at the operational level, and introduces the sustainability evaluation indicators of UA V -CCM from three aspects of economy, environment and society. We propose a multi-objective bi-level programming resource allocation (MOBPRA) model of UA V -CCM. The model maximizes the sustainability and quality of service of UA V -CCM from the perspective of the platform operator and multiple service demanders. In order to solve the established MOBPRA model, a new hybrid algorithm of particle swarm optimization and simulated annealing (PSO-SA) is proposed. Finally, the bi-level programming model and PSO_ SA algorithm is applied to UAV -CCM to further verify its feasibility. The results demonstrate the feasibility and effectiveness of the proposed model and algorithm.