Generate-map-reduce: An extension to map-reduce to support shared data and recursive computations-Reference-Cited by-同舟云学术

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Generate-map-reduce: An extension to map-reduce to support shared data and recursive computations

Published:2013-04-04 Issue:2 Volume:26 Page:561-585
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Dharanipragada Janakiram¹,Iyer Geeta¹,Kailasam Sriram¹

Affiliation:

1. Dept. of CSE; IIT Madras; Chennai 600036 India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference44 articles.

1. Dryad

2. Hadoop Open source implementation of mapreduce http://hadoop.apache.org/

3. HaLoop: Efficient iterative data processing on large clusters;Bu;Proceedings of the VLDB Endowment,2010

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3. A new closed frequent itemset mining algorithm based on GPU and improved vertical structure;Concurrency and Computation: Practice and Experience;2016-08-02

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