Hadoop-Based Painting Resource Storage and Retrieval Platform Construction and Testing

نویسندگان

چکیده

This paper adopts Hadoop to build and test the storage retrieval platform for painting resources. as MapReduce computing framework uses Distributed Filesystem (HDFS) distributed file system store massive log data, which solves problem of data. According business requirements system, this designs according process web text mining, mainly divided into data preprocessing module, analysis visualization module. The core part is search keywords ranking, Uniform Resource Locator (URL), user click relationship, URL other dimensions are realized through statistical analysis, Canopy coarse clustering performed first keywords, then K-means used results after clustering, calculation cosine similarity adopted realize grouping users portrait. development environment installed deployed, functional performance tests conducted on contents implemented in system. constructed private cloud remote sensing image can online metadata fast download solve problems storage, sharing, management a certain extent.

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ژورنال

عنوان ژورنال: Complexity

سال: 2021

ISSN: ['1099-0526', '1076-2787']

DOI: https://doi.org/10.1155/2021/9933330