Dynamic Replication Policy on HDFS Based on Machine Learning Clustering

Data growth in recent years has been swift, leading to the emergence of big data science. Distributed File Systems (DFS) are commonly used to handle big data, like Google File System (GFS), Hadoop Distributed File System (HDFS), and others. The DFS should provide the availability of data and reliabi...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE access Vol. 11; p. 1
Main Authors:	Ahmed, Motaz A., Khafagy, Mohamed H., Shaheen, Masoud E., Kaseb, Mostafa R.
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Availability Big Data Clustering Computer networks Data science Distributed computing Distributed processing Feature extraction File systems Hadoop Distributed File System High-Performance Distributed Computing Machine learning Reliability Replicability Replication Replication Policy Support vector machines
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!