ITM Web Conf.
Volume 11, 20172017 International Conference on Information Science and Technology (IST 2017)
|Number of page(s)||9|
|Section||Session IV: High Performance Computation|
|Published online||23 May 2017|
A Massive Structured Data Storage Technology for Commodity Screening Applications
School of Computer Science, Beijing Information Science &Technology University, Beijing 100101, China
a Corresponding author: firstname.lastname@example.org
With the rapid development of e-commerce, the number of goods has become more and more. When commodity screening system is used to store and process mass information, the existing models require all nodes in the distributed system to work in parallel, then the results of each node are integrated to get the final results, the process produces a lot of invalid queries. In order to solve this problem, proposed a new distributed structured data storage method. It statistics the history search results and chooses the high frequency or core columns to be key columns. The data can be stored based key columns and distribute system architecture. Then in the searching stage, only some nodes work when the search refer to key columns. The results show that this method can reduce the tasks and improve the throughout without extra storage consumption.
© Owned by the authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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