基于气象大数据计算与资源共享教学平台设计-《计算机技术与发展》

文章信息/Info

Title:: Design of Teaching Platform Based on Meteorological Big Data and Resource Sharing

作者:: 郝永生¹; 季赛¹; 曹杰²; 1. 南京信息工程大学网络信息中心,江苏南京 210044; 2. 徐州工程学院管理学院,江苏南京 221018

Author(s):: HAO Yong-sheng¹; JI Sai¹; CAO Jie²; 1.Network Information Center,Nanjing University of Information Science & Technology,Nanjing 210044,China; 2.School of Management,Xuzhou University of Technology,Xuzhou 221018,China

Keywords:: meteorological big data; meteorological models; meteorological data sets; high-speed disk; virtual center

摘要:: 气象大数据具有4V“种类多”(variety)特性,即海量的数据规模(volume)、快速的数据流转和动态的数据体系(velocity)、多样的数据类型(variety)和巨大的数据价值(value)。在气象模式教学过程中,气象模式配置复杂,其需要的气象基础数据具有体量大的特点。针对传统气象模式教学过程复杂,气象模式配置过程繁琐,气象基础数据集需要重复下载的问题,提出气象大数据数字资源平台的建设问题。气象基础数据集与气象模式相结合,对气象基础数据集进行布局,使系统具有比较高的利用率。针对多数据中心,多个气象模式可运行,多个学生对气象基础数据共享的情况,提出一种基于 Apriori 的挖掘算法来分析数据集与气象模式的直接关系,并完成气象大数据数字资源系统设计,既为学生、教师提供方便的操作,又能提高系统性能。气象大数据数字资源平台不但提供气象计算,也提供各种气象基础数据集的共享访问,简化了气象模式教学过程。

Abstract:: There are four attributes for meteorological big data:volume,velocity,variety and value. During the teaching of meteorological model,the basic meteorological data required by the meteorological model with complicated configuration is of large volume. In view of the complicated teaching? ? ? ? of traditional meteorological model,the complicated configuration of meteorological model and the repeated downloading of basic meteorological? ?data set,the construction of digital resource platform of meteorological big data is proposed. Combined with meteorological models,the basic meteorological data sets are arranged to make the system more efficient. In view of the situation that multiple meteorological models can be operated in multiple data centers and multiple students share basic meteorological data, an Apriori-based mining algorithm is proposed to analyze the direct relationship between data sets and meteorological models and complete the design of meteorological big data digital resource system,which not only provides convenient operation for students and teachers,but also improves the system performance. The meteorological big data digital resource platform not only provides the meteorological calculation,but also provides the shared access to various basic meteorological data sets,simplifying the teaching process of meteorological models.