CSSDC Big Data Processing and Applications in Space Science Missions
文献类型:会议论文
作者 | Li, Yunlong; Zhong, Jia; Ma, Fuli; Zou, Ziming |
出版日期 | 2019 |
会议日期 | November 30, 2018 - December 1, 2018 |
会议地点 | Beijing, China |
卷号 | 11473 LNCS |
DOI | 10.1007/978-3-030-28061-1_3 |
页码 | 10-15 |
英文摘要 | Chinese space science starts to accelerate its pace with the support of Strategic Priority Program on Space Science, planning to launch more space science projects in the next five years. It brings great requirements in timeliness and accuracy of data processing, raising new challenges in heterogeneous data management and analysis. Chinese Space Science Data Center (CSSDC) is constantly exploring ways to face the potential challenges, keeping up with the rapid pace of new space science projects. This paper introduces CSSDC’s preliminary explorations of the big data processing and application in space science, including the dynamic and scalable scientific data processing system that supports multi-satellites and multi-tasks, a hierarchical storage strategy for large-scale space science data, and the application of the advanced data mining methods to the space science researches with collaboration of domain experts. © 2019, Springer Nature Switzerland AG. |
会议录 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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语种 | 英语 |
ISSN号 | 0302-9743 |
ISBN号 | 9783030280604 |
源URL | [http://ir.nssc.ac.cn/handle/122/7166] ![]() |
专题 | 国家空间科学中心_运控部/科学卫星综合运控中心 |
作者单位 | National Space Science Center, Zhongguancun, Haidian District, Beijing; 100190, China |
推荐引用方式 GB/T 7714 | Li, Yunlong,Zhong, Jia,Ma, Fuli,et al. CSSDC Big Data Processing and Applications in Space Science Missions[C]. 见:. Beijing, China. November 30, 2018 - December 1, 2018. |
入库方式: OAI收割
来源:国家空间科学中心
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