MAPSkew: Metaheuristic Approaches for Partitioning Skew in MapReduce

MAPSkew: Metaheuristic Approaches for Partitioning Skew in MapReduce

MapReduce is a parallel computing model in which a large dataset is split into smaller parts and executed on multiple machines. Due to its simplicity, MapReduce has been widely used in various applications domains. MapReduce can significantly reduce the processing time of a large amount of data by d...

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Bibliographic Details
Main Authors: Matheus H. M. Pericini, Lucas G. M. Leite, Francisco H. de Carvalho-Junior, Javam C. Machado, Cenez A. Rezende
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Algorithms
Subjects:
MapReduce
partitioning skew
metaheuristics
parallel computing
high performance computing
Online Access:http://www.mdpi.com/1999-4893/12/1/5

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http://www.mdpi.com/1999-4893/12/1/5

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