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...

Full description

Saved in:

Bibliographic Details
Published in:	The Journal of supercomputing Vol. 77; no. 2; pp. 1273 - 1300
Main Authors:	Mostafaeipour, Ali, Jahangard Rafsanjani, Amir, Ahmadi, Mohammad, Arockia Dhanraj, Joshuva
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.02.2021 Springer Nature B.V
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!