Dynamic Replication Policy on HDFS Based on Machine Learning Clustering

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...

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Bibliographic Details
Main Authors: Motaz A. Ahmed, Mohamed H. Khafagy, Masoud E. Shaheen, Mostafa R. Kaseb
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Availability
big data
clustering
Hadoop distributed file system
high-performance distributed computing
machine learning
Online Access:https://ieeexplore.ieee.org/document/10049393/

Internet

https://ieeexplore.ieee.org/document/10049393/

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