基于数字标签的电子档案序列大数据并行分类系统设计

Design of digital⁃label based parallel classification system for electronic archive sequence big data

为协助用户在庞大网络数据中安全、快速寻找所需电子档案序列大数据,设计基于数字标签的电子档案序列大数据并行分类系统。利用云计算理念设计由大数据采集器、处理器和分类模块构成的并行分类系统总体架构,通过动态易扩展方式分布式配置电子档案序列大数据,增强系统分类稳定性。设计由芯片和单片机组成的大数据采集器,以及处理器型号为IXP2400的大数据处理器,完成电子档案序列大数据采集及处理。大数据分类模块采用基于数字标签加密分类方法,设计多属性数字标签防止电子档案序列大数据被窃取。基于此,采用加密分类方法将电子档案序列大数据分成若干大数据块,实现电子档案序列大数据加密分类。测试结果表明,所提系统正确分类电子档案序列大数据的同时分类稳定性好,准确率及召回率分别高达98.63%,99.85%。

A digital⁃label based parallel classification system for the big data of the electronic archive sequence is designed to help users find the big data of the needed electronic archives sequence safely and quickly in the huge network data.The overall architecture of parallel classification system composed of big data collectors,processors and classification modules is designed by means of the idea of cloud computing.The big data of electronic archive sequence is performed for the distributed configuration in a dynamic and scalable way to enhance the classification stability of the system.The big data collector consisted of the chip and the single chip computer,and the big data processor IXP2400 are designed to complete the acquisition and processing of big data of the electronic file sequence.In the big data classification module,the multi⁃attribute digital label is designed based on the encryption and classification method based on digital labels to prevent big data of the electronic archive sequence from being stolen.Based on this,the big data of electronic archives sequence is divided into several big data blocks by means of the encryption and classification method,so as to realize the encryption and classification of big data of electronic archives sequence.The testing results show that the proposed system can classify the big data of electronic archive sequence correctly and has good classification stability at the same time.The accuracy and recall rate are 98.63%and 99.85%,respectively.