基于Raptor码的可靠云存储服务  

Reliable Cloud Storage Service Based on Raptor code

作　　者：马玲玲 张功萱 MA Lingling;ZHANG Gongxuan(School of Computer Science and Engineering,Nanjing University of Science and Technology,Nanjing 210094)

机构地区：[1]南京理工大学计算机科学与工程学院

出　　处：《计算机与数字工程》2019年第10期2534-2539,2631,共7页Computer & Digital Engineering

摘　　要：近年来,云存储越来越流行,其带来一些数据存储问题也越来越得到人们的关注。对于用户来说,他们最关心保障私有数据的安全性以及存储访问数据的便利性。对于云存储服务提供商来说,他们不仅要满足用户的需求,还要实现自己的利益,比如说尽可能地节省存储空间。因此论文提出将Raptor码的编解码思想运用到分布式云存储中,分析了Raptor码在提高存储数据的安全性上的能力,以及在容错性和编解码效率方面较传统存储技术的优势。此外,针对Raptor码和云存储的特点,提出云存储上基于反馈的Raptor码译码优化,以减少译码和云存储系统调度开销,提高译码效率。实验结果表明,论文提出的译码优化较好地达到了设计目标。Recently,cloud storage has become more and more popular and the problems about cloud data storage get more and more people's attention.For users,those things they care most about are the security of private data and the convenience of storage and access.For the cloud storage service providers,they should not only meet users'requirements,but also realize their own interests,for example,save as much storage space as possible.Hence,this paper proposes to apply the encoding and decoding of Raptor code into distributed cloud storage,analyzing the ability of Raptor code which can improve the security of stored data and the superiority of Raptor code in the aspects of fault tolerance and encoding and decoding efficiency compared to traditional storage technologies.Furthermore,in accordance with the characteristics of Raptor code and cloud storage,this paper proposes the optimization of Raptor decoding based on feedback,in order to reduce decoding and scheduling overhead of cloud storage system and improve decoding efficiency.Experiment result shows that the decoding optimization proposed in this paper achieves the design goal.

关 键 词：RAPTOR码 云存储 反馈译码 

分 类 号：TP333[自动化与计算机技术—计算机系统结构]