DocumentCode :
693209
Title :
An architecture for efficiently establishing the classroom cloud
Author :
Jer-Wei Rau ; Yung-Sheng Chen
Author_Institution :
Dept. of Electr. Eng., Yuan Ze Univ., Chungli, Taiwan
Volume :
03
fYear :
2013
fDate :
14-17 July 2013
Firstpage :
1418
Lastpage :
1422
Abstract :
Cloud computing is the key for Big Data analytics. Apache Hadoop makes it feasible to process the immense data set. An experimental environment with flexibility is required to do education and research with Big Data. However, this solution brings with the challenges that are how to manage large number of computers in the Hadoop cluster, and how to reuse the idle computer resources. In this paper, we propose the classroom cloud infrastructure to overcome the challenges. With this infrastructure, we can reuse the idle computer resources in the classroom for education and research. The case study of such a classroom cloud implemented in YZU is presented and discussed to help reader who can follow architecture to set up their personal Hadoop experimental environment in the classroom.
Keywords :
Big Data; cloud computing; computer aided instruction; data analysis; public domain software; Apache Hadoop cluster; Big Data analytics; YZU; classroom cloud infrastructure; cloud computing; data set; education; idle computer resources; personal Hadoop experimental environment; research; Cloud computing; Computer architecture; Computers; Hardware; Servers; User interfaces; Virtual machining; Classroom Cloud; Computer resource management; Hadoop; Virtual machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
Type :
conf
DOI :
10.1109/ICMLC.2013.6890805
Filename :
6890805
Link To Document :
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