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Research on Computing Efficiency of MapReduce in Big Data Environment
oleh: Gao Tilei, Yang Ming, Jiang Rong, Li Yu, Yao Yao
Format: | Article |
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Diterbitkan: | EDP Sciences 2019-01-01 |
Deskripsi
The emergence of big data has brought a great impact on traditional computing mode, the distributed computing framework represented by MapReduce has become an important solution to this problem. Based on the big data, this paper deeply studies the principle and framework of MapReduce programming. On the basis of mastering the principle and framework of MapReduce programming, the time consumption of distributed computing framework MapReduce and traditional computing model is compared with concrete programming experiments. The experiment shows that MapReduce has great advantages in large data volume.