摘要
基于我国空间科学战略发展需求,针对我国空间科学先导专项当前在役与未来即将开展的众多卫星任务,对卫星地面段的数据处理框架及关键技术进行研究,提出了一种通用的具有任务级与资源级双层调度引擎的空间科学卫星数据处理技术框架(space science satellite data processing framework,SDPF),设计实现了自动、高效、实时、标准化的空间科学卫星数据处理系统,使得多卫星任务、多载荷数据源的大规模数据的高度复杂的处理过程得以快速并行完成,在数据处理能力、计算资源规划、应对故障的可靠性、灵活性和可拓展性等方面体现出非常好的应用效果,也可为其他领域相关系统的设计提供参考思路。
Based on the needs of China’s space science strategy and series of on-orbit and forthcoming satellite missions in China’s Strategic Priority Program on space science,data processing framework and key technologies of the satellite ground segment are studied.A general technical framework SDPF(space science satellite data processing framework)is proposed with two-layer scheduling engine,including mission-level and resource-level.The design and implementation of an automatic,efficient,real-time and standard space science satellite data processing system has been established.In this way,complicated processing procedures on large-scale data from multi-satellite missions and multi-payload can be completed quickly in parallel.It shows good application effects in terms of data processing capabilities,computing resource planning,reliability in response to failures,flexibility and scalability,and can also provide some ideas for system design in other fields.
作者
马文臻
邹自明
黎建辉
于勤思
佟继周
李菁菁
Ma Wenzhen;Zou Ziming;Li Jianhui;Yu Qinsi;Tong Jizhou;Li Jingjing(Computer Network Information Center,Chinese Academy of Sciences,Beijing 100190,China;National Space Science Center,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2022年第7期1605-1618,共14页
Journal of System Simulation
基金
北京市科技计划(Z181100002918002)
中国科学院战略性先导科技(XDA115040200)
中国科学院“十三五”信息化建设专项(XXH13505-04)。
关键词
空间科学卫星
数据处理框架
任务调度
资源调度
数据处理工作流
space science satellite
data processing framework
mission scheduling
resource scheduling
data processing workflow
