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基于Cassandra的海量MUSER数据分布式存储与检索研究
Alternative TitleThe Study of the Data Storage and Retrieval for the Massive Data of MUSER based on Cassandra
石玥1; 王锋1,2; 李鹏程1; 刘应波1
Source Publication天文研究与技术(Astronomical Research & Technology)
2018-07
Volume15Issue:03Pages:361-368
DOI10.14005/j.cnki.issn1672-7673.20180426.007
ClassificationTn216
Contribution Rank第2完成单位
Indexed ByCSCD
Keyword非关系型数据库 存储 检索
Abstract

明安图射电频谱日像仪每天产生海量观测数据,传统的关系型数据库存储和管理这些数据时,面临着读写延迟高、性能和容量扩展能力有限以及可用性弱等诸多问题。针对这些问题,开展了基于No SQL的海量数据存储与检索应用研究。首先,详细分析了明安图射电频谱日像仪数据特点、存储需要以及面临的问题;然后,对明安图射电频谱日像仪进行数据建模,给出了明安图射电频谱日像仪的列式非关系型数据模型,同时提出了元数据和数据在No SQL中的同步存储方法,解决了二者的一致性问题,在此基础上实现了基于Cassandra的海量天文数据存储管理系统(MBDMS),最后通过实验验证了系统存储与检索的高效性、扩展性以及可行性,从结果来看,MBDMS可以很好的满足数据管理需要,是解决当前数据存储问题的一种有效方案。

Other Abstract

Mingantu Ultrawide Spectral Radioheliograph produces massive observational data every day. In order to solve the problem of high latency of reading and writing, limited
performance of capacity expansion and weak usability when the data is stored and managed by traditional relational database, The paper has carried out research on the application of MUSER data storage based on NoSQL. First of all, deeply analyze the characteristics of MUSER data, the requirement of storage and problems being solved in detail. Secondly, the MUSER data model is given as well as the MUSER column non-relational data model. The metadata and data are synchronized in NoSQL based on Cassandra. The MUSER massive astronomical data storage management system (MBDMS) is realized based on Cassandra. The experiment validates the efficiency, expansibility and feasibility of data storage and retrieval of the system. As aresult, 
MBDMS can well meet MUSER data management needs, is an effective program to solve the current MUSER data storage problem.

Funding Project国家自然科学基金[61462053] ; 国家自然科学基金[11703010] ; 中国博士后科学基金[2016M602730]
Funding Organization国家自然科学基金[61462053, 11703010] ; 中国博士后科学基金[2016M602730]
Language中文
Subject Area天文学 ; 天文学其他学科 ; 计算机科学技术
MOST Discipline Catalogue理学 ; 理学::天文学 ; 工学 ; 工学::计算机科学与技术(可授工学、理学学位)
ISSN1672-7673
CSCD IDCSCD:6272018
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ynao.ac.cn/handle/114a53/12154
Collection其他
Affiliation1.昆明理工大学云南省计算机技术应用重点实验室,云南,昆明,650504
2.中国科学院云南天文台,云南,昆明,650216
Recommended Citation
GB/T 7714
石玥,王锋,李鹏程,等. 基于Cassandra的海量MUSER数据分布式存储与检索研究[J]. 天文研究与技术(Astronomical Research & Technology),2018,15(03):361-368.
APA 石玥,王锋,李鹏程,&刘应波.(2018).基于Cassandra的海量MUSER数据分布式存储与检索研究.天文研究与技术(Astronomical Research & Technology),15(03),361-368.
MLA 石玥,et al."基于Cassandra的海量MUSER数据分布式存储与检索研究".天文研究与技术(Astronomical Research & Technology) 15.03(2018):361-368.
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