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Research on campus network cloud storage open platform based on cloud computing and big data technology

机译:基于云计算和大数据技术的校园网络云存储开放平台研究

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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.
机译:基于校园云存储要求的分析,纸张计划云存储结构模型实现打破传统校园网络资源利用瓶颈的目标。 本文建立的模型充分考虑了集群数据安全性和大数据分析和利用的问题,并提出了云存储开放平台系统设计的优化方案。 计划HDOOP集群中的HDFS + HBase分布式存储部署,详细阐述行为分析过程,并找到一种方法来优化和改进高校云存储。 HBase技术在Hadoop集群中实现了关于HDFS分布式存储系统的操作,有效提高了资源访问和资源分析的效率。 本文设计的云平台存储平台解决了集成高校高等资源的问题。

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