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Data Management in Data Intensive Computing Systems - A Survey


Author(s):

Mayuri K P , Sir MVIT, Bangalore, Karnataka, India; Mohamadi Ghousiya Kousar, Sir MVIT, Bangalore, Karnataka, India; Dr.Shakti Mishra, Sir MVIT, Bangalore, Karnataka, India

Keywords:

Data Intensive Super Computing (DISC), Map Reduce, HDFS, HPCC, Grid Computing

Abstract:

Data intensive computing is a class of parallel computing applications for processing large amount of data such as big data. In order to store, manage, access and process vast amount of data available on internet, data intensive computing systems are needed. These systems also enable to search, analyze, mine and visualize the structured and unstructured data. This paper mainly focuses on the different data intensive computing systems such as Supercomputing, Hadoop Map Reduce and Hadoop Distributed File System (HDFS), High Performance Computing Cluster (HPCC) and Grid Computing regarding how the big data is managed in each architecture and a comparative study is made on the characteristics of data intensive computing systems for each computing strategy.


Other Details:

Manuscript Id :IJSTEV2I5059
Published in :Volume : 2, Issue : 5
Publication Date: 01/12/2015
Page(s): 181-186
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