Get all the updates for this publication
Articles
Analyzing web application log files to find hit count through the utilization of Hadoop MapReduce in cloud computing environmentPublished in Institute of Electrical and Electronics Engineers Inc.
2014
Pages: 1 - 7
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. © 2014 IEEE.
Topics: Data-intensive computing (63)%63% related to the paper, Web log analysis software (61)%61% related to the paper, File system (54)%54% related to the paper and Cloud computing (53)%53% related to the paper
View more info for "Analyzing web application log files to find hit count through the utilization of Hadoop MapReduce in cloud computing environment"
Content may be subject to copyright.
About the journal
| Journal | Data powered by TypesetProceedings of the 2014 Conference on IT in Business, Industry and Government: An International Conference by CSI on Big Data, CSIBIG 2014 |
|---|---|
| Publisher | Data powered by TypesetInstitute of Electrical and Electronics Engineers Inc. |
| Open Access | No |
Authors (1)
Trupti Nitin Baraskar- A Survey and Analytical Approach on ImageCompression for DICOM Images
- An implementation of malaria detection using regional descriptor and PSO-SVM classifier
- A model for determining personality by analyzing off-line handwriting
- A novel approach for medical image segmentation using PCA and K-means clustering
