摘要
云计算所提出的全新计算和存储思想,对海量数据的存储解决方案以及快速访问有效数据资源提供了参考。以云存储平台NoSQL数据库为背景,研究海量天文数据的存储和访问技术。首先构建了基于MongoDB平台的天文图像FITS文件存储原型,在此基础上设计并分析存储实验。实验结果表明,数据分片存储以及选择最佳的分片大小能有效提高天文数据的存储和访问效率。
The bran-new calculation and storage ideas proposed by cloud computing provide the references for storage solutions of massive data and rapid access of effective data resources. This paper studies the storage and access technologies of massive astronomical data based on cloud storage platform NoSQL database. Firstly, this paper builds an astronomical image FITS file storage prototype based on MongoDB platform. On this basis, this paper designs and analyzes the storage experiments. The experimental results show that the data partition storage and selection of optimal segment size can effectively improve the effectiveness of astronomical data storage and access.
出处
《计算机与网络》
2014年第15期60-63,共4页
Computer & Network
