| 2 | Data-Aware Partitioning Schema in MapReduce显示文摘With the advantages of MapReduce programming model in parallel computing and processing of data and tasks on large-scale clusters, a Dataaware partitioning schema in MapReduce for large-scale high-dimensional data is proposed. It optimizes partition method of data blocks with the same contribution to computation in MapReduce. Using a two-stage data partitioning strategy, the data are uniformly distributed into data blocks by clustering and partitioning. The experiments show that the data-aware partitioning schema is very effective and extensible for improving the query efficiency of highdimensional data. | Liang Junjie Liu Qiongni Yin Li Yu Dunhui | 2015 | 国际计算机前沿大会会议论文集2015，，1： | 0 |
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