DocumentCode
3249972
Title
Mass data storage system for campus network based on cloud computing
Author
Gao Xin-cheng ; Li Chun-sheng
Author_Institution
Modern Educ. Tech. Center, Northeast Pet. Univ., Daqing, China
fYear
2012
fDate
14-17 July 2012
Firstpage
226
Lastpage
230
Abstract
With network developed quickly and used widely, how to store mass data has become a problem we have to face. Traditional methods usually add more servers into to increase computing speed and storage ability, while the hardware cost is very expensive and the storage efficiency is low. Through deep study of MapReduce programming model and Hadoop framework, this paper presented a mass data storage model based on Hadoop framework, then we designed and implemented a mass data storage system for campus network based on cloud computing. This system can effectively solved issues in mass data storage management in teaching and study. This system is cheap, easily operated, fast dealing and stable.
Keywords
cloud computing; computer networks; data handling; Hadoop framework; MapReduce programming model; campus network; cloud computing; computer network technology; mass data storage system; Cloud computing; Computational modeling; Computer architecture; Data models; Distributed databases; Memory; Servers; Hadoop; MapReduce; cloud computing; distributed computing; storage model;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education (ICCSE), 2012 7th International Conference on
Conference_Location
Melbourne, VIC
Print_ISBN
978-1-4673-0241-8
Type
conf
DOI
10.1109/ICCSE.2012.6295063
Filename
6295063
Link To Document