基于云平台的企业远程办公文件分布式存储方法  

Distributed Storage Method of Enterprise Remote Office Files Based on Cloud Platform

作　　者：张脉琪 ZHANG Mai-qi(The Second Affiliated Hospital of Soochow University,Suzhou 215004 China)

机构地区：[1]苏州大学附属第二医院,江苏苏州215004

出　　处：《自动化技术与应用》2024年第3期112-115,共4页Techniques of Automation and Applications

摘　　要：为提高数据的读写性能,设计基于云平台的企业远程办公文件分布式存储方法。总体架构由计算层、数据接入层、存储层、数据聚集层构成。存储层由Hadoop集群构成,各集群由NameNode管理;计算层与数据接入层可以实现数据的持久化存储;数据聚集层采用一致性多副本哈希存储算法作为数据聚集算法。通过搭建虚拟化云平台统一管理多个服务器,创建主机虚拟集群。设计文件加解密过滤器进行数据加解密。设计随机化数据冗余算法进行数据冗余。测试结果表明设计方法的集群负载情况良好,读、写带宽最高达到3798 bps和3912 bps,读、写速率最高达到3298字节/s和3258字节/s。In order to improve the reading and writing performance of data,a distributed storage method of enterprise remote office files based on cloud platform is designed.The architecture consists of computing layer,data access layer,storage layer and data aggregation layer.The storage layer consists of Hadoop clusters,and each cluster is managed by NameNode.Computing layer and data access layer can realize persistent storage of data.The data aggregation layer adopts the consistent multi-copy hash storage algorithm as the data aggregation algorithm.It builds a virtualized cloud platform to manage multiple servers in a unified way,and create a virtual cluster of hosts.It designs file encryption and decryption filter to encrypt and decrypt data,designs randomized data redundancy algorithm for data redundancy.The test results show that the cluster load of the design method is good,with the highest read and write bandwidths of 3798bps and 3912bps,and the highest read and write rates of 3298 bytes/s and 3258 bytes/s.

关 键 词：云平台 企业远程办公 HDFS文件 文件分布式存储 数据聚集 

分 类 号：TP311.133.1[自动化与计算机技术—计算机软件与理论]