摘要
云盘是拥有移动性、便捷性、灵活性和按需功能的新一代网络存储服务平台.随着云盘存储服务的不断应用及存储数据量的不断增加,如何提高存储文件的可靠性,保证存储文件持续、有效的被访问成为一个必须解决的问题.通过分析现有冗余存储机制,提出了面向多云盘的N+i模式的编码冗余存储机制;利用数据拆分及编解码的思想来解决云盘存储数据的可靠性问题.通过用户终端对存储文件进行编码冗余化处理,将存储文件的冗余化处理权限转移到用户终端,有效解决了用户对云盘存储数据的可靠性不信任问题;同时多云盘存储用户文件有效分担了单云盘存储数据的安全风险.当存储数据的云盘发生故障或失效时,用户终端利用可用云盘中的数据即可恢复原始文件,并对数据恢复的可行性进行了论证.最后对单云盘及多云盘两种存储方式的可靠性进行了分析比较,得出基于N+i模式的多云盘并行存储能够有效增强存储文件的可靠性.
Cloud disk is the new generation of on-demand network storage services platform with mobility,convenience,flexibility and functionality. With the increasing amount of data,applications and storage disk storage cloud services,how to improve the reliability of the stored files, continue to ensure store files effective to be accessed has become a problem to be solved. By analyzing existing redun- dant storage mechanism,the paper proposes encoding and redundancy storage mechanism of N ＋ i mode for Multi-cloud disks;By u- sing the idea of splitting data,encoding and decoding,the reliability issues for cloud disk storage data is solved. Through end users store files encoded by the redundant processing, the privilege of storing redundant processing file is transfered to the user terminal, which provides an effective solution to the user data on the reliability of disk storage cloud mistrust issues. And cloud disk to store user files efficiently share a single cloud security risks disk storage data. When the storing data of cloud disk becomes malfunction or fail- ure ,the user terminal uses the data of available cloud disk to restore the origonal files and data recovery and viability are demonstrated. Finally, the paper analyzes and compares the reliability of a single cloud disk and multi-cloud disks for two storage methods ,it can ef- fectively enhance the reliability of the file based on N ＋ i model for multi-cloud disks to parallel storage.
出处
《小型微型计算机系统》
CSCD
北大核心
2016年第2期236-240,共5页
Journal of Chinese Computer Systems
基金
国家"九七三"重点基础研究发展计划项目(2011CB311801)资助
河南省科技创新人才计划项目(114200510001)资助
关键词
多云盘
安全风险
编码冗余
数据存储
可靠性
multi-cloud disks
safety risks
coding redundancy
data storage
reliability
