Hadoop and Its Role in Modern Image Processing

Seyyed Mojtaba Banaei; Hossein Kardan Moghaddam

doi:10.4236/ojms.2014.44022

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Hadoop and Its Role in Modern Image Processing ()

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DOI: 10.4236/ojms.2014.44022 10,271 Downloads 11,602 Views Citations

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Seyyed Mojtaba Banaei¹, Hossein Kardan Moghaddam^2*

Affiliation(s)

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

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

Cite this paper

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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