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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Vydané v:	The Journal of supercomputing Ročník 77; číslo 2; s. 1273 - 1300
Hlavní autori:	Mostafaeipour, Ali, Jahangard Rafsanjani, Amir, Ahmadi, Mohammad, Arockia Dhanraj, Joshuva
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.02.2021 Springer Nature B.V
Predmet:	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
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