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HIPI: A REVIEW ON HADOOP MAP REDUCE FRAMEWORK USING IMAGE PROCESSING IN BIGDATA

P.S. Vijayalakshmi1 , K. Gomathy2 , C. Kumuthini3

Section:Review Paper, Product Type: Journal Paper
Volume-06 , Issue-08 , Page no. 9-14, Oct-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6si8.914

Online published on Oct 31, 2018

Copyright © P.S. Vijayalakshmi, K. Gomathy, C. Kumuthini . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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How to Cite this Paper

IEEE Style Citation: P.S. Vijayalakshmi, K. Gomathy, C. Kumuthini, “HIPI: A REVIEW ON HADOOP MAP REDUCE FRAMEWORK USING IMAGE PROCESSING IN BIGDATA,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.08, pp.9-14, 2018.

MLA Style Citation: P.S. Vijayalakshmi, K. Gomathy, C. Kumuthini "HIPI: A REVIEW ON HADOOP MAP REDUCE FRAMEWORK USING IMAGE PROCESSING IN BIGDATA." International Journal of Computer Sciences and Engineering 06.08 (2018): 9-14.

APA Style Citation: P.S. Vijayalakshmi, K. Gomathy, C. Kumuthini, (2018). HIPI: A REVIEW ON HADOOP MAP REDUCE FRAMEWORK USING IMAGE PROCESSING IN BIGDATA. International Journal of Computer Sciences and Engineering, 06(08), 9-14.

BibTex Style Citation:
@article{Vijayalakshmi_2018,
author = {P.S. Vijayalakshmi, K. Gomathy, C. Kumuthini},
title = {HIPI: A REVIEW ON HADOOP MAP REDUCE FRAMEWORK USING IMAGE PROCESSING IN BIGDATA},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2018},
volume = {06},
Issue = {08},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {9-14},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=466},
doi = {https://doi.org/10.26438/ijcse/v6i8.914}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i8.914}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=466
TI - HIPI: A REVIEW ON HADOOP MAP REDUCE FRAMEWORK USING IMAGE PROCESSING IN BIGDATA
T2 - International Journal of Computer Sciences and Engineering
AU - P.S. Vijayalakshmi, K. Gomathy, C. Kumuthini
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 9-14
IS - 08
VL - 06
SN - 2347-2693
ER -

           

Abstract

Nowadays, Big data is growing vey faster in the world. Big data is the large volume of data that consists of both structured and unstructured on a day-to-day basis. But it`s not the amount of data. Big data is the data which includes sensor data, biometric data, Geo-spatial, Healthcare, power grid, transport, search engine and in Social networks. Hadoop process large amounts of data, in parallel, clusters of commodity hardware in a reliable and fault-tolerant manner. In this paper we review the Image processing using Map reduce technique with the help of HIPI (the image processing Tool).

Key-Words / Index Term

Hadoop, Map reduce, Big data, Image Processing, HIPI

References

[1] https://zephoria.com/top-15-valuable-facebook-statistics
[2]Hadoop map reduce framework.http://hadoop.apache.org/mapreduce/.
[3]Customizing input file formats for image processing in hadoop. Arizona State University. Online at:
http://hpc. asu. edu/node/97.
[4]DEAN, J.,AND GHEMAWAT,S.2008. Mapreduce: Simplified data processing on large clusters. Communications of the ACM 51, 1,107–113.
[5] PDF: HIPI: A Hadoop Image Processing Interface for Image-based Map Reduce Tasks. Available from: https://www.researchgate.net/publication/266464321_HIPI_A_Hadoop_Image_Processing_Interface_for_Image-based_MapReduce_Tasks [accessed Jul 18 2018].
[6] http://hipi.cs.virginia.edu/
[7] https://github.com/uvagfx/hipi
[8] http://hipi.cs.virginia.edu/gettingstarted.html
[9] http://hipi.cs.virginia.edu/examples.html