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Computing cluster and artificial intelligence in the analysis and application of college students' physical exercise behavior
2
Zitationen
2
Autoren
2021
Jahr
Abstract
Computing cluster and artificial intelligence in the analysis and application of college students' physical exercise behavior is studied in this paper. The algorithm is proposed under different scale job sets, the load situation of each node in the entire cluster is relatively balanced, and there is no vacant server situation. By using two algorithms to schedule the variance statistics of the load conditions of each node in the cluster under the same job scale, compare the load balancing performance of the two scheduling algorithms. With the theoretical support, the AI integrated smart training model is constructed, and applied to the physical exercise. The performance is tested under various data sets and the results are recorded to be efficient.
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