Hybrid storage architecture and efficient MapReduce processing for unstructured data-Reference-Cited by-同舟云学术

Hybrid storage architecture and efficient MapReduce processing for unstructured data

Published:2017-11 Issue: Volume:69 Page:63-77
ISSN:0167-8191
Container-title:Parallel Computing
language:en
Short-container-title:Parallel Computing

Author:

Lu Weiming,Wang Yaoguang,Jiang Jingyuan,Liu Jian,Shen Yapeng,Wei Baogang

Funder

Zhejiang Provincial Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference27 articles.

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3. MapReduce: simplified data processing on large clusters;Dean;Commun. ACM,2008

4. Apache hbase, (http://hadoop.apache.org/hbase/).

5. Q. Yu, Fastdfs: framework analysis and configuration optimization, 2012, Dtcc.

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