A Balanced Partitioning Mechanism with Condensed, Collapsed Trie in MapReduce
碩士 === 國立臺灣科技大學 === 電子工程系 === 106 === The MapReduce has emerged as an efficient platform for coping with big data. It achieves this goal by decoupling the data and then distributing the workloads to multiple reducers for processing in a fully parallel manner. The hash function of MapReduce usually g...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/49897a |