Optimization techniques on job scheduling and resource allocation for MapReduce system
MapReduce has become a popular high performance computing paradigm for large-scale data processing. Hadoop, an open source implementation of MapReduce, has been widely deployed in large clusters containing thousands of machines by companies such as Yahoo! and Facebook to support batch processing for...
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| Format: | Thesis |
| Language: | English |
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2015
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| Online Access: | https://hdl.handle.net/10356/64312 |