期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2016
卷号：10
期号：5
页码：61-68
DOI：10.14257/ijseia.2016.10.5.06
出版社：SERSC
摘要：The memory-based column repository has become an attractive architecture for big database storage because of its compression performance, and the cheap flash drive has become a popular storage for high-performance servers because of its outstanding I/O performance, and non-volatile, power-economic nature. First, we introduce a popular raw-oriented storage model and a new column-oriented model. Second, we propose a dual-index model using flash memory to improve the performance of the high-speed column-oriented database system. Our index management scheme achieves superior search performance by index segmentation and compact indexing. In terms of the search performance, our scheme outperforms traditional index management schemes.
关键词：Compressed big data repository; Column-oriented index management; ; Master & compact index; Read-intensive Databases
