基于区块链技术的多维大数据交互式查询方法分析  

Analysis of multi⁃dimensional big data interactive query method based on block chain technology

作　　者：段平 DUAN Ping(School of Computer Science and Engineering,Northwestern Polytechnical University,Xi’an 710072,China)

机构地区：[1]西北工业大学计算机学院,陕西西安710072

出　　处：《电子设计工程》2021年第1期11-15,共5页Electronic Design Engineering

摘　　要：为实现多维大数据既定信息的精准调取与查询,提出基于区块链技术的多维大数据交互式查询方法。按照NoSQL多维数据库的连接需求,设置固定型号的大数据迁移引擎,再根据区块链调度节点牵引原理,实现多维大数据的迁移与调度处置。在此基础上,以Limit FIFO交互调度器作为主要的查询应用设备,通过集成多维大数据信息流的方式,配置必要的关联性查询系数,完成基于区块链技术多维大数据交互式查询方法的搭建。对比实验结果显示,与传统MySQL数据库查询行为相比,应用交互式查询方法后,相关大数据节点间的信息传输准确性达到89%,既定信息的调取占用时间缩短至0.88 ms,有效解决了海量存储环境下信息调取应用精度偏低问题。In order to realize the accurate retrieval and query of established information of big data,a multi⁃dimensional big data interactive query method based on block chain technology is proposed.According to the connection requirements of NoSQL multidimensional database,a fixed type of big data migration engine is set up,and then according to the block chain scheduling node traction principle,the migration and scheduling disposal of multidimensional big data is realized.On this basis,the Limit FIFO interactive scheduler is used as the main query application device,and the necessary correlation query coefficient is configured by integrating the information flow of the multidimensional big data to complete the construction of the multidimensional big data interactive query method based on the block chain technology.The experimental results show that,compared with the traditional MySQL database query behavior,the information transmission accuracy between the relevant big data nodes reaches 89%after the application of the interactive query method,and the retrieval time of the established information is shortened to 0.88ms,effectively solving the problem that the information retrieval application accuracy is low in the mass storage environment.

关 键 词：区块链技术 多维大数据 交互式查询 NOSQL数据库 Limit FIFO调度器 关联系数 

分 类 号：TN929[电子电信—通信与信息系统]