Analyzing Web Application Log Files to Find Hit Count Through the Utilization of Hadoop MapReduce in Cloud Computing Environment

摘要

MapReduce has been widely applied in various fields of data and computeintensive applications and also it is important programming model for cloudcomputing. Hadoop is an open-source implementation of MapReduce which operateson terabytes of data using commodity hardware. We have applied this HadoopMapReduce programming model for analyzing web log files so that we could gethit count of specific web application. This system uses Hadoop file system tostore log file and results are evaluated using Map and Reduce function.Experimental results show hit count for each field in log file. Also due toMapReduce runtime parallelization response time is reduced.