摘要
算法集成是研制建设综合性数据处理分析系统的一项重要内容.本文基于临近空间科学实验支持系统研制实践,针对面向科学研究需求的数据处理分析系统的算法集成问题,设计了一种大型分布式系统中集成多种类、多版本、多功能算法的方法,通过构建算法插件,满足了此类科学实验支持系统并行开发、插件化调用、灵活扩展、更新迭代的要求.采用该方法集成的系统部署在ZStack私有云平台上,通过对临近空间科学实验中多种大气参数、原位探测参数、生态参数的计算分析实验验证了该方法的有效性.
Algorithm integration is an important content in developing a comprehensive data processing and analysis system. As the development of a near-space science experiment system, a method to integrate algorithms of multiple types, versions, and functions in a large distributed system is designed to facilitate the algorithm integration in a data processing and analysis system. Parallel development, plug-in calling, flexible expansion, and update iteration of the scientific experiment system are enabled by constructing algorithm plug-ins. The system improved with this method is applied to the ZStack private cloud platform, and the method is verified by calculation and analysis of atmospheric parameters, in-situ detection parameters, and ecological parameters in near-space science experiments.
作者
窦帅
李子扬
朱家佳
李晓辉
米琳
李传荣
DOU Shuai;LI Zi-Yang;ZHU Jia-Jia;LI Xiao-Hui;MI Lin;LI Chuan-Rong(CAS Key Laboratory of Quantitative Remote Sensing Information Technology,Aerospace Information Innovation Research Institute,Chinese Academy of Sciences,Beijing 100094,China)
出处
《计算机系统应用》
2021年第3期110-116,共7页
Computer Systems & Applications
基金
中国科学院战略性先导科技专项(A类)(XDA17040303)。
关键词
分布式计算
算法集成
插件
迭代
distributed computing
algorithm integration
plug-in
iteration
