Affiliations: Information Center, Chongqing University of Education, Chongqing, China
Correspondence:
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Corresponding author. Yao Fuguang, Information Center, Chongqing University of Education, No. 1 Chongjiao Road, Nanshan Sub-district, Nan’an District, Chongqing, China. E-mail: yaofg@cque.edu.cn.
Abstract: Based on the analysis of campus cloud storage requirements, the paper plans a cloud storage structure model to achieve the goal of breaking the bottleneck of traditional campus network resource utilization. The model established in the thesis fully considers the problems of cluster data security and big data analysis and utilization, and proposes an optimization scheme for cloud storage open platform system design. Plan the HDFS + HBase distributed storage deployment in the Hadoop cluster, elaborate the process of behavior analysis, and find a way to optimize and improve the cloud storage in colleges and universities. HBase technology implements operations on HDFS distributed storage systems in Hadoop clusters, effectively improving the efficiency of resource access and resource analysis. The cloud platform storage platform designed by the thesis solves the problem of integrating the superior resources of colleges and universities.
Keywords: Cloud computing, big data technology, campus network, cloud storage platform, Hadoop platform, HDFS+HBase distributed storage
