Abstract: Apache Hadoop is a software framework that supports data-intensive distributed application under a free license. It enables applications to work with thousands of nodes and petabytes of data. Hadoop was inspired by Google’s MapReduce and Google File System (GFS) papers. Hadoop was originally developed to support distribution for the Nutch search engine project. Here Hadoop is incorporated for handling large cluster of images. Moreover, Hadoop provide language independent platform which helps the programmer to remain in their comfort zone. Here I discussed the cloudera installation of Hadoop and here I present the design, implementation and evaluation of Hadoop thumbnail creation model that supports incremental job expansion. Under this model, a job consumes input as required and can dynamically govern its resource consumption while producing the required results. I have implemented the mechanism in Hadoop, and I present results from an experimental performance study of normal and Hadoop model for creating thumbnails.
Keyword: Cloudera, SSH, MapReduce, HDFS.
Title: THUMBNAIL IMAGE CREATION IN HADOOP USING PYTHON
Author: Devi.V.Kumar
International Journal of Computer Science and Information Technology Research
ISSN 2348-120X (online), ISSN 2348-1196 (print)
Research Publish Journals
