Survey on Analysis of Big-Data Applications Using Map Reduce Framework |
Author(s): |
| Kratika Patil , SIMS,indore; Dr. Pankaj Dashore, SIMS,Indore |
Keywords: |
| Performance Analysis, Cloud Computing, Hadoop Word Count |
Abstract |
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clustering As a result of the rapid development in cloud computing, it's fundamental to investigate the performance of extraordinary HadoopMapReduce 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 HadoopMapReduce Word Count Utility. |
Other Details |
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Paper ID: IJSRDV8I70008 Published in: Volume : 8, Issue : 7 Publication Date: 01/10/2020 Page(s): 829-832 |
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