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  1. University of Computer Studies, Yangon
  2. Conferences

Big Data Analytics on Large Scale Shared Storage System

http://hdl.handle.net/20.500.12678/0000005021
0693b405-cd72-4a4d-95bf-b65c62f64cd7
fd6df63c-ae65-4dc1-97ae-ea6102a9f630
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ICCA2012(KyarNyoAye).pdf ICCA2012(KyarNyoAye).pdf (547 Kb)
Publication type Article
Upload type Publication
Title
Big Data Analytics on Large Scale Shared Storage System
en
Publication date 2012-02-28
Authors
Aye, Kyar Nyo
Thein, Ni Lar
Description
In today’s world, almost every enterprise isseeing an explosion of data. They are getting hugeamount of digital data generated daily. Such hugeamount of data needs to be stored for variousreasons. Now the important question that arises atthis point of time is how do we store, manage,process and analyze such huge amount of data mostof which is Semi structured or Unstructured in ascalable, fault tolerant and efficient manner. Thechallenges of big data are most of them is semistructured or unstructured data, need to carry outcomplex computations over big data and the timerequired to process big data is as low as possible. Inthis paper, we propose big data platform based onHadoop MapReduce framework and Gluster filesystem over large scale shared storage system toaddress these challenges. Our big data platform cansupport large scale data analysis efficiently andeffectively.
Keywords
big data
Keywords
big data analytics
Keywords
big data platform
Keywords
MapReduce framework
Keywords
Gluster File System
Keywords
Scale-out NAS
Journal articles
Tenth International Conference on Computer Applications (ICCA 2012)
Conference papers
Books/reports/chapters
Thesis/dissertations
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