期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2015
卷号：8
期号：5
页码：47-54
DOI：10.14257/ijgdc.2015.8.5.04
出版社：SERSC
摘要：The big data set in Energy Acquisition System needs to acquire massive electric energy data and dynamic information online, and finishes processing in scheduled time. This requires a higher demand on massive data storage and data processing. In order to achieve these massive electric energy data efficiently, this article based on the data gathering system and storage structure of Hadoop technique, and tested electric energy mensuration log data set of a city as an example, the result shows that the bigger of the sets group, the better effect would be achieved, which effectively avoid the latency problem of big data set information processing respond.
关键词：Electric Energy acquisition; Distributed structure; Hadoop calculation; ; parallel processing
