The application of MapReduce in the cloud computing

Proceedings - 2011 International Symposium on Intelligence Information Processing and Trusted Computing, IPTC 2011

Volumn , Issue , 2011, Pages 154-156

  Yang, Gaizhen ^a  

^a HUANGGANG NORMAL UNIVERSITY   (China)

Author keywords

architecture; cloud platform; distributed programming; Hadoop; MapReduce

Indexed keywords

COMPARISON RESULT; DATA SETS; DISTRIBUTED PROCESSING FRAMEWORKS; DISTRIBUTED PROGRAMMING; HADOOP; MAP-REDUCE; PROGRAMMING MODELS; WORKING PRINCIPLES;

ARCHITECTURE; COMPUTER PROGRAMMING; DATA PROCESSING; PARALLEL ARCHITECTURES;

CLOUD COMPUTING;

EID: 84855747748     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPTC.2011.46     Document Type: Conference Paper

References (5)

1. Dean J, Ghemawat S. MapReduce: Simplifed Data Processing on Large Clusters[C]//Proc. of the 6th Symposium on Operating System Design and Implementation, San Francisco. 2004.
2. Anthony T. Velte, Toby J. Velte, Ph.D., Robert Elsenpeter, Cloud Computing: A Practical Approach, September 2009, pp.89-102.
3. BaiduEncyclopedia, Mapreduce, http://baike.baidu.com/view/2902.htm.
4. ZHENG Xin-jie, ZHU Cheng-rong, XIONG Qi-bang, "Design and Implementation of Distributed Ray Tracing". Computer Engineering. November 2007
5. Introduce the open source Hadoop distributed computing framework.http://www.kuqin.com/systemanalysis/20080804/13302.html.