Optimization Architecture Design of Mission Scheduling for Aviation Flight Test Data Center Based on Cloud Computing
To solve the significant lag in the task scheduling behavior of aviation flight test data centers and achieve the real-time scheduling of aviation flight test data,an optimization architecture based on cloud computing for the aviation flight test data center task scheduling is designed.Set up a WiRo central network,unite the test data predictors and flight task allocators,and improve the basic application structure design of the central task scheduling optimization architecture system.Based on the range of particle swarm optimization(PSO)optimization metrics,the inertia weight index and particle encoding conditions are solved,and the function expres-sion conditions are derived according to cloud computing rules,the construction of an aviation flight test data scheduling model based on cloud computing is achieved.Under the constraints of dynamic data permissions,the resource occupancy rate and long tail delay parameters of the scheduling tasks in the computing center are calculated to optimize the configuration of the task scheduling architec-ture.The WiRo central network is Combined with the EMU scheduling structure to complete the cloud based optimization architecture design for the task scheduling of the aviation flight test data center.The experimental results show that under the influence of cloud computing technology,the maximum long tail delay is 1.11％,and the data throughput per unit time reaches 9.85 B/s.The delayed scheduling behavior of central tasks caused by the limited data throughput is well solved,which meets the practical application re-quirements for the real-time scheduling of the aviation flight test data.
万方数据
维普
