Survey on Word Count Problem with Map Reduce using Hadoop |
Author(s): |
| Mr. Shahbaj Khan , Jawahar Lal Institute of technology, Borawan; Rachana Dasondhi, Jawahar Lal Institute of technology, Borawan |
Keywords: |
| Performance analysis, cloud computing, Hadoop WordCount |
Abstract |
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In cloud computing, data is moved to a remotely located cloud server. Cloud server faithfully stores the data and return back to the owner whenever needed. Data and computation integrity and security are major concerns for users of cloud computing facilities. Today's clouds typically place centralized, universal trust in all the cloud's nodes. 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 |
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Paper ID: IJSRDV5I50079 Published in: Volume : 5, Issue : 5 Publication Date: 01/08/2017 Page(s): 215-216 |
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