ITM Web of Conferences (Jan 2019)

Research on Computing Efficiency of MapReduce in Big Data Environment

  • Gao Tilei,
  • Yang Ming,
  • Jiang Rong,
  • Li Yu,
  • Yao Yao

DOI
https://doi.org/10.1051/itmconf/20192603002
Journal volume & issue
Vol. 26
p. 03002

Abstract

Read online

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.