计算机工程与应用2016，Vol.52Issue(1)：37-41,140,6.DOI:10.3778/j.issn.1002-8331.1401-0015
基于压缩-字对齐位图的天文海量数据实时索引
Massive astronomical real-time data indexing based on compressed word-aligned bitmap
摘要
Abstract
At present, New Vacuum Solar Telescope(NVST)is generating data more than 2 TB per day, and due to the characteristic of massive non-structure data, it is beyond traditional database systems to search efficiently for a subset of these extremely large with low latency and response time and time overtime is increasing by the way of off-line index building. Aiming at these problems, combined with the strategy of on-line real data indexing in observation data capture system, using an approach of the compressed word-aligned bitmap index for observation data indexing and querying is proposed. This approach cannot only save the time cost of accessing FITS file, reading FITS file header and parsing header keyword in off-line indexing mode, but also can solve the problem of massive solar data retrieval. Experiments show that time overhead can be reduced by using real-time data indexing, and the effectiveness and feasibility of the method are proved in the experiments.关键词
字对齐位图索引/FastBit/海量数据/大型望远镜Key words
word-aligned bitmap/FastBit/massive data/large telescope分类
信息技术与安全科学引用本文复制引用
刘应波,王锋,季凯帆,邓辉,戴伟,梁波..基于压缩-字对齐位图的天文海量数据实时索引[J].计算机工程与应用,2016,52(1):37-41,140,6.基金项目
国家自然科学基金(No.U1231205,No.11263004,No.11163004,No.11103005) （No.U1231205,No.11263004,No.11163004,No.11103005）
云南省应用基础研究基金重点项目(No.2013FA013,No.2013FA032). （No.2013FA013,No.2013FA032）
