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With the development of cloud computing application technology and related research, cloud programming model has also a new technological innovation. In college campus network experimental teaching system, cloud platform experiment has become main content for big data analysis. So, by using HDFS struck, building a stable, practical experiment platform to meet the experiment course system becomes a new topic of the experimental study of campus network in colleges and universities. In this paper, we use open source cloud computing platform Hadoop as the basic platform for big data analysis experiment. The basic experimental platform is used for data processing optimization. HDFS provides the underlying application support for distributed computing storage, and realizes communication between NameNode and DataNode. The user file is stored into the node through the data block, so that the read and write requests of the client can be processed timely, and the data block can be created, deleted, replicated and mapped with a unified schedule of NameNode. At the same time, we can target the experiment process according to experiment methods. [ABSTRACT FROM AUTHOR]

The evaluation of subhealth of traditional college teachers is lack of timeliness, objectivity and efficiency. In the big data environment, the subhealth assessment model can be established more effectively by information technology, so as to support the evaluation and prediction of subhealth state of university teachers. Firstly, according to the analysis of multidimensional subhealth impact factors of university teachers, the paper constructs a decision conceptual model of the impact of multidimensional subhealth, followed by the analysis and data processing of the sample data characteristics, based on the detailed process of using CART algorithm. Finally, the parallel implementation process and experimental verification based on Spark are given. The subhealth concept model of university teachers objectively reflects the evaluation factors of sub health. The decision tree model can support the prediction and analysis of subhealth of university teachers, and experiments verify the validity, immediacy and accuracy of the model. [ABSTRACT FROM AUTHOR]