Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Analyzing Web Application Log Files to Find Hit Count Through the
  Utilization of Hadoop MapReduce in Cloud Computing Environment   MapReduce has been widely applied in various fields of data and compute
intensive applications and also it is important programming model for cloud
computing. Hadoop is an open-source implementation of MapReduce which operates
on terabytes of data using commodity hardware. We have applied this Hadoop
MapReduce programming model for analyzing web log files so that we could get
hit count of specific web application. This system uses Hadoop file system to
store log file and results are evaluated using Map and Reduce function.
Experimental results show hit count for each field in log file. Also due to
MapReduce runtime parallelization response time is reduced.

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The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
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The categories of this paper are: comp-gas
6
The categories of this paper are: astro-ph
36
The categories of this paper are: cmp-lg
24
The categories of this paper are: dg-ga
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The categories of this paper are: patt-sol
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The categories of this paper are: plasm-ph
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The categories of this paper are: eess
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The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
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The categories of this paper are: q-fin