With the rapid development of the Internet, the amount and form of data in various industries are becoming increasingly large and complex. The crazy growth of data volume increases the value of data mining, but also brings difficulties to professionals and scholars engaged in data mining. At this time, it is necessary to divide a computing task into multiple task nodes through a distributed computing(DC) method, and then the computer can greatly improve the computing efficiency by participating in the computing process. In this paper, a DC model based on the three-layer B/S mode is built on the Hadoop platform. In order to verify the performance of the model, the performance of the model is evaluated by indicators such as SR, ACC, and ITR. Through two sets of comparative experiments to analyze the effect of the DC mechanism, the experiments show that the SP value and ITR value of the model under parallel computing are improved, and after the WAFE, the improvement effect of ITR is more obvious.

Ciminello Monica. Distributed Computing Model Based on Three-layer B/S Mode. Distributed Processing System (2021), Vol. 2, Issue 2: 26-33. https://doi.org/10.38007/DPS.2021.020204.

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