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Journal of Systems and Software, 2014 Hadoop has emerged as a successful framework for large-scale data-intensive computing applications. However, there is no research on performance models for the Hadoop Distributed File System (HDFS).
Bo Dong, Feng Tian, Kuo-Ming Chao
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Adaptable I/O System based I/O Reduction for Improving the Performance of HDFS
Journal of Semiconductor Technology and Science, 2016 In this paper, we propose a new HDFS-AIO framework to enhance HDFS with Adaptive I/O System (ADIOS), which supports many different I/O methods and enables applications to select optimal I/O routines for a particular platform without source-code ...
Seungjae Baek +8 more
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Hadoop, MapReduce and HDFS: A Developers Perspective [PDF]
Procedia Computer Science, 2015 The applications running on Hadoop clusters are increasing day by day. This is due to the fact that organizations have found a simple and efficient model that works well in distributed environment.
Durgaprasad Gangodkar, Mohd Rehan Ghazi
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The research and analysis of efficiency of hardware usage base on HDFS
Cluster Computing, 2022exaly
A new replica placement strategy based on multi-objective optimisation for HDFS
International Journal of Bio-Inspired Computation, 2020Dhish Kumar Saxena +2 more
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Moving metadata from ad hoc files to database tables for robust, highly available, and scalable HDFS
Journal of Supercomputing, 2017Yang-Sae Moon, Kyu-Young Whang
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HDFS file operation fingerprints for forensic investigations
Digital Investigation, 2018Mariam Khader, Ali Hadi
exaly
REHDFS: A random read/write enhanced HDFS
Journal of Network and Computer Applications, 2018Veerabhadra Rao Chandakanna
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