DocumentCode :
167577
Title :
Research on big data information retrieval based on hadoop architecture
Author :
Chen Jie ; Chen Dongjie ; Huang Bangming
Author_Institution :
Commun. & Inf. Eng., Chongqing Univ. of Posts & Telecommun., Chongqing, China
fYear :
2014
fDate :
8-9 May 2014
Firstpage :
492
Lastpage :
495
Abstract :
In recent years, due to the growing popularity of the human network behavior, we meet the new generation of big data era. This makes the emergence of characteristics that large data storage capacity and fast business growth. For large storage capacity, instability, low retrieval time caused by large data information, this paper demonstrate a distributed storage and server clustering approach to solve the problem of tradition storage capacity, high-availability of retrieval and servers. For the arrival of the era of big data, how to improve the retrieval time, the storage capacity and stability of system, these provide for the future construction of a guiding role.
Keywords :
Big Data; distributed processing; information retrieval; pattern clustering; storage management; Big Data era; Big Data information retrieval; Hadoop architecture; business growth; data storage capacity; distributed storage approach; human network behavior; retrieval time; server clustering approach; Google; big data; retrieval time; storage capacity; system stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Computer and Applications, 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
Type :
conf
DOI :
10.1109/IWECA.2014.6845665
Filename :
6845665
Link To Document :
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