A High-performance Retrieval Method of Mass Data Oriented to Cloud Computing

被引：4
|
作者：
Tao, Jin [1 ]
机构：
[1] Inner Mongolia Univ, Coll Ordos, Ordos 017000, Peoples R China
来源：
2016 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS) | 2016年
关键词：
Cloud Computing; Mass Data; Retrieve; Hadoop Hierarchical Model; Distributed Computing;
D O I：
10.1109/ICRIS.2016.3
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
With the acceleration development of the Internet of Things and big data, the importance of high-performance mass data retrieval is gradually highlighted. Cloud computing is the distributed data calculation model that is suitable for big data, and has been widely used. In this paper, firstly, the technology of cloud computing is introduced. Secondly, retrieval technology of mass data is analyzed, finally a high-performance retrieval method of mass data based on Hadoop is proposed. The architecture of this method is composed of HDFS, MapReduce, and Hive, and is divided into four layers from bottom to top: access layer, interface layer, management layer and storage layer.
引用
收藏
页码：16 / 21
页数：6
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