Hadoop and Its Role in Modern Image Processing

Seyyed Mojtaba Banaei; Hossein Kardan Moghaddam

doi:10.4236/ojms.2014.44022

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Open Journal of Marine Science > Vol.4 No.4, October 2014

Hadoop and Its Role in Modern Image Processing ()

Seyyed Mojtaba Banaei¹, Hossein Kardan Moghaddam^2*

¹Bozorgmehr University, Ghayen, Iran.
²Birjand University of Technology, Birjand, Iran.

DOI: 10.4236/ojms.2014.44022 PDF HTML XML 12,409 Downloads 13,780 Views Citations

Abstract

This paper introduces MapReduce as a distributed data processing model using open source Hadoop framework for manipulating large volume of data. The huge volume of data in the modern world, particularly multimedia data, creates new requirements for processing and storage. As an open source distributed computational framework, Hadoop allows for processing large amounts of images on an infinite set of computing nodes by providing necessary infrastructures. This paper introduces this framework, current works and its advantages and disadvantages.

Keywords

Cloud Computing, Hadoop, Big Data, Image Processing, MapReduce Model

Share and Cite:

Banaei, S. and Moghaddam, H. (2014) Hadoop and Its Role in Modern Image Processing. Open Journal of Marine Science, 4, 239-245. doi: 10.4236/ojms.2014.44022.

Conflicts of Interest

The authors declare no conflicts of interest.

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