The Research of MapReduce on the Cloud Computing

Author:

Gao Tie Liang1,Li Jiao1,Zhang Jun Peng2,Shi Bing Jie1

Affiliation:

1. Xinxiang University

2. Henan Zhumadian Power Supply Company

Abstract

MapReduce is a kind of model of program that is use in the parallel computing about large scale data muster in the Cloud Computing[1] , it mainly consist of map and reduce . MapReduce is tremendously convenient for the programmer who can’t familiar with the parallel program .These people use the MapReduce to run their program on the distribute system. This paper mainly research the model and process and theory of MapReduce .

Publisher

Trans Tech Publications, Ltd.

Reference6 articles.

1. Michael Armbrust, Armando Fox. Above the clouds: A Berkeley view of Cloud Computing[J]. Technical Report No. UCB/EECS-2009-28, University of California at Berkley, USA, 2009. 2: 3-5.

2. John Darlington, Yi-ke Guo, Hing Wing To. Structured parallel programming: theory meetspractice. Computing tomorrow: future research directions in computer science bookcontents Pages: 49-65.

3. Heli Xu, Guixin Wu. Parallel programming in Grid: Using MPI[C]. Third International Symposium on Electronic Commerce and Security Workshops(ISECS 2010), ISBN978-952-5726-11-4, 2010. 7.

4. Torsten Hoefler, Andrew Lumsdaine, Jack Dongarra. Towards Efficient MapReduce UsingMPI[C]. In Proceedings of the 16th European PVM/MPI Users'Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing interface. 2009. 9.

5. Tom White. Running Hadoop MapReduce on Amazon EC2 and Amazon S3[J]. http: /developer. amazonwebservices. com/connect/entry. jspa?externalID=873, 2008. 10.

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