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 Hadoo...

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Bibliographic Details
Published in:arXiv.org 2014-11
Main Authors: Narkhede, Sayalee, Baraskar, Trupti, Mukhopadhyay, Debajyoti
Format: Article
Language:English
Subjects:
Applications programs
Cloud computing
Parallel processing
Response time
Servers
Software reviews
Online Access:Get full text
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Summary: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.
ISSN:2331-8422