Investigating the performance of Hadoop and Spark platforms on machine learning algorithms

One of the most challenging issues in the big data research area is the inability to process a large volume of information in a reasonable time. Hadoop and Spark are two frameworks for distributed data processing. Hadoop is a very popular and general platform for big data processing. Because of the...

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Veröffentlicht in:	The Journal of supercomputing Jg. 77; H. 2; S. 1273 - 1300
Hauptverfasser:	Mostafaeipour, Ali, Jahangard Rafsanjani, Amir, Ahmadi, Mohammad, Arockia Dhanraj, Joshuva
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.02.2021 Springer Nature B.V
Schlagworte:	Algorithms Big Data Compilers Computer Science Data processing Interpreters Iterative algorithms Iterative methods K-nearest neighbors algorithm Machine learning Microprocessors Processor Architectures Programming Languages Run time (computers) Big data Spark Ganglia Machine learning Hadoop MapReduce
ISSN:	0920-8542, 1573-0484
Online-Zugang:	Volltext
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