A Performance Comparison of Big Data Processing Platform Based on Parallel Clustering Algorithms

The performance of three typical big data processing platform: Hadoop, Spark and DataMPI are compared based on different parallel clustering algorithms: parallel K-means, parallel fuzzy K-means and parallel Canopy. Experiments are performed on different text as well as numeric dataset and clusters o...

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Bibliographic Details

Published in:	Procedia computer science Vol. 139; pp. 127 - 135
Main Authors:	Hai, Mo, Zhang, Yuejing, Li, Haifeng
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 2018
Subjects:	Canopy DataMPI fuzzy K-means Hadoop K-means Spark K-means DataMPI Spark fuzzy K-means Hadoop Canopy
ISSN:	1877-0509, 1877-0509
Online Access:	Get full text
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