Framework Design and Implementation of Ground Scheduling System for Multi-source Remote Sensing Satellite
This paper researches and designs the ground scheduling and processing system,with a focus on the key technologies such as workflow,thread pool and Redis catching.Firstly,through the analysis of workflow,an optimized scheduling algorithm is proposed to improve the execu-tion efficiency and resource utilization of system tasks.Secondly,thread pool technology is intro-duced to manage and schedule thread resources in the system,achieving concurrent execution and load balancing,and improving the system throughput and response speed.Finally,Redis cache is used as the system cache and Kafka message queue to optimize the efficiency of data ac-cess and communication,providing higher performance and reliability.Through experiments and performance evaluation,the advantages of the system in task processing capability,resource uti-lization and data access efficiency are verified.This study has certain practical significance and popularizing value for improving the efficiency and performance of ground dispatching and pro-cessing system for remote sensing satellite.
workflowconcurrent programmingcaching mechanismtask schedulingsatellite ground system