Improving I/O Efficiency in Hadoop-Based Massive Data Analysis Programs
Apache Hadoop has been a popular parallel processing tool in the era of big data. While practitioners have rewritten many conventional analysis algorithms to make them customized to Hadoop, the issue of inefficient I/O in Hadoop-based programs has been repeatedly reported in the literature. In this...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2018-01-01
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| Series: | Scientific Programming |
| Online Access: | http://dx.doi.org/10.1155/2018/2682085 |