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An Approach for Effectively Handling Small-Size Image Files in Hadoop

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An Approach for Effectively Handling Small-Size Image Files in Hadoop


Arjumand Ali

https://doi.org/10.31142/ijtsrd11516



Arjumand Ali "An Approach for Effectively Handling Small-Size Image Files in Hadoop" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3, April 2018, pp.1751-1756, URL: https://www.ijtsrd.com/papers/ijtsrd11516.pdf

Small size file handling problem is a big challenge in Hadoop framework. Many approaches have been proposed and evaluated to deal with the small size file handling problem in Hadoop. File merging strategy is one of the most popular approaches used in literature. To deal with the small size file handling problem this paper evaluates a merging strategy in the domain of “Content-based Image Retrieval Systems (CBIRS)”. CBIRS form a perfect application domain for evaluating solutions for small size file handling problem in Hadoop by incorporating a huge number of image files (small files).The approach used in this paper is shown to be efficient than the solution provided by HIPI (Hadoop Image processing Interface).

Hadoop, Data node, Name node, HDFS client, Map reduce, small-file problem, Content-based Image Retrieval, Histogram Intersection


IJTSRD11516
Volume-2 | Issue-3, April 2018
1751-1756
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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