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Implementation of Map-Reduce on Hadoop on Public Cloud

Author(s):

Shahbaj Khan , Jawaharlal institute of technology,Borawan M.P.; Rachna Dasondhi, Jawaharlal institute of technology,Borawan M.P.

Keywords:

Performance Analysis, Cloud Computing, Hadoop Word count

Abstract

As a result of the rapid development in cloud computing, it's fundamental to investigate the performance of extraordinary Hadoop MapReduce purposes and to realize the performance bottleneck in a cloud cluster that contributes to higher or diminish performance. It is usually primary to research the underlying hardware in cloud cluster servers to permit the optimization of program and hardware to achieve the highest performance feasible. Hadoop is founded on MapReduce, which is among the most popular programming items for huge knowledge analysis in a parallel computing environment. In this paper, we reward a particular efficiency analysis, characterization, and evaluation of Hadoop MapReduce WordCount utility.

Other Details

Paper ID: IJSRDV5I60312
Published in: Volume : 5, Issue : 6
Publication Date: 01/09/2017
Page(s): 478-480

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