Physical Health Data Mining of College Students Based on DRF Algorithm

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Abstract

College physical education in China is facing a new reform in the context of informationization, and informatization is the focus of this reform. The physical health data mining of college students was studied in the paper from the perspective of cloud data. Firstly, the unified scheduling of students’ physique health data resources under cloud environment was analyzed. Secondly, in-depth research was conducted on the Yam system. And a new type of data mining and scheduling model Luna Scheduler was designed based on DRF algorithm. This model optimized Yam Capacity Scheduler in terms of scheduling algorithm, fine-grained resources classification, etc. Finally, the algorithm and model were tested, and the parameter configuration that could improve the throughput of Yam was given.

Keywords

DRF algorithm Data mining Data scheduling 

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institute of Physical EducationAnhui Polytechnic UniversityWuhuChina
  2. 2.Wannan Medical CollegeWuhuChina

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