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
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;
Conference_Titel :
Computer Science & Education (ICCSE), 2012 7th International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-0241-8
DOI :
10.1109/ICCSE.2012.6295063