PHDFS: Optimizing I/O performance of HDFS in deep learning cloud computing platform
For deep learning cloud computing platforms, file system is a fundamental and critical component. Hadoop distributed file system (HDFS) is widely used in large scale clusters due to its high performance and high availability. However, in deep learning datasets, the number of files is huge but the fi...
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| Published in: | Journal of systems architecture Vol. 109; p. 101810 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.10.2020
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| Subjects: | |
| ISSN: | 1383-7621, 1873-6165 |
| Online Access: | Get full text |
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