CARTILAGE: adding flexibility to the Hadoop skeleton
Modern enterprises have to deal with a variety of analytical queries over very large datasets. In this respect, Hadoop has gained much popularity since it scales to thousand of nodes and terabytes of data. However, Hadoop suffers from poor performance, especially in I/O performance. Several works ha...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
ACM Press
2021
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| Online Access: | https://hdl.handle.net/1721.1/137853 |