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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Vydáno v:	IEEE access Ročník 11; s. 1
Hlavní autoři:	Ahmed, Motaz A., Khafagy, Mohamed H., Shaheen, Masoud E., Kaseb, Mostafa R.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
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