An improved partitioning mechanism for optimizing massive data analysis using MapReduce-Reference-Cited by-同舟云学术

An improved partitioning mechanism for optimizing massive data analysis using MapReduce

Published:2013-04-11 Issue:1 Volume:66 Page:539-555
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Slagter Kenn,Hsu Ching-Hsien,Chung Yeh-Ching,Zhang Daqiang

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11227-013-0924-9.pdf

Reference33 articles.

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3. Dean J, GhemawatDean S (2008) MapReduce: simplified data processing on large clusters. Commun ACM 51:107–113

4. Ghemawat S, Gobioff H, Leung S-T (2003) The Google file system. In: 19th ACM symposium on operating systems principles (SOSP)

5. Jiang W, Agrawal G (2011) Ex-MATE data intensive computing with large reduction objects and its application to graph mining. In: IEEE/ACM international symposium on cluster, cloud and grid computing, pp 475–484

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