In allusion to limitations of traditional data processing technology in big data processing, big data processing system architecture based on hadoop is designed, using the characteristics of quantification, unstructured and dynamic of cloud computing.It uses HDFS be responsible for big data storage, and uses MapReduce be responsible for big data calculation and uses Hbase as unstructured data storage database, at the same time a system of storage and cloud computing security model are designed, in order to implement efficient storage, management, and retrieval of data,thus it can save construction cost, and guarantee system stability, reliability and security.
You might also be interested in these eBooks
Info:
© 2014 Trans Tech Publications Ltd. All Rights Reserved
[1]
Feilong Chen. Mass sensing data management system based on Hadoop. Nanjing university of science and technology, (2013).
Google Scholar
[2]
Junzhou Luo etc. Cloud computing: the architecture and key technology. Tsinghua university press, 2011. 7.
Google Scholar
[3]
A. T husoo? Petabytes J.S. S arma model. The Hive - a scale data warehouse using Hadoop, ICDE2010, (2010).
Google Scholar
[4]
Jingjing Cheng, Zhaoxin YU. Research and design of big data analysis based on cloud computing platform. Guangdong communication technology, 2013. 1.
Google Scholar
[5]
JunSong, LinZhu. Design and implementation of huge amounts of data processing based on cloud computing platform. Telecommunications technology, 2012. 4.
Google Scholar
[6]
JianHou, Renjun Shuai, Wen Hou. The mass data storage model based on cloud computing. Communication technology, 2011. 5.
Google Scholar
[7]
Hongjian Li etc. Research of massive telecom data based on Hadoop under cloud computing. Telecom science, 2012. 8.
Google Scholar
[8]
YaoFeng Miao etc. Cloud computing security architecture of mobile Internet. Science and technology, 2012. 8.
Google Scholar
[9]
Zhihong Huang etc. Network security threats and protection based on the cloud computing. Journal of chongqing university of science and technology, 2012. 8.
Google Scholar