Minimum Redundancy Distributed Cloud Storage System Considering Heterogeneity in Heterogeneous Environment

HU Li-wen; LI Qi-ming

Chinese

您当前的位置：

首页 >

文章列表页 >

Minimum Redundancy Distributed Cloud Storage System Considering Heterogeneity in Heterogeneous Environment

更新时间：2026-09-04

- Minimum Redundancy Distributed Cloud Storage System Considering Heterogeneity in Heterogeneous Environment
- Vol. 35, Issue 5, Pages: 21-26(2018)
- 作者机构：
  
  1. 江苏财会职业学院机构信息系,江苏,连云港,222061
  2. 上海海事大学机构信息工程学院,上海,201306
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2018
- 稿件说明：
移动端阅览
胡力文, 李启明. 异构环境下非均质性最小冗余分布式云存储系统[J]. 微电子学与计算机, 2018, 35(5): 21-26, 34.

HU Li-wen, LI Qi-ming. Minimum Redundancy Distributed Cloud Storage System Considering Heterogeneity in Heterogeneous Environment[J]. 2018, 35(5): 21-26.
胡力文, 李启明. 异构环境下非均质性最小冗余分布式云存储系统[J]. 微电子学与计算机, 2018, 35(5): 21-26, 34. DOI：

HU Li-wen, LI Qi-ming. Minimum Redundancy Distributed Cloud Storage System Considering Heterogeneity in Heterogeneous Environment[J]. 2018, 35(5): 21-26. DOI：

摘要

为提高分布式云存储系统构建的合理性

提出一种异构环境下考虑非均质性的最小冗余分布式云存储系统构建方法.首先

开发了异构环境中

进行数据可用性计算的分析框架.由于在存储节点增长时数据可用性计算非常复杂

提出了一种以较少计算代价的方法来估计真实值的蒙特卡洛方法.其次

由于决定在每个主机上分配的最佳冗余量是很难计算的

提出了一种基于粒子群算法(PSO)的分配方法.最后

提供了一个简单的迭代算法来确定保证不同存储应用程序的数据可用性所需的最小冗余.实验结果显示

所提方法可实现数据冗余和存储成本的降低.

Abstract

In order to improve the rationality of distributed cloud storage system construction

a minimum redundant distributed cloud storage system construction method under heterogeneous environment is proposed.Firstly

an analytical framework for computing data availability in heterogeneous environments is developed.Because the computation of data availability is very complicated when the storage nodes are growing

a Monte Carlo method is proposed to estimate the real values with less computational cost.Secondly

since it is difficult to compute the optimal redundancy allocation for each host

a method based on particle swarm optimization(PSO)is proposed.Finally

a simple iterative algorithm is provided to determine the minimum redundancy required to ensure data availability for different storage applications.Experimental results show that the proposed method can reduce data redundancy and storage cost.

关键词

Keywords

references

Pitchai R, Jayashri S, Raja J. Searchable encrypted data file sharing method using public cloud service for secure storage in cloud computing[J]. Wireless Personal Communications, 2016, 90(2): 947-960. DOI: 947

Abdul Nasir Khan, Mat Kiah M L, Mazhar Ali, et al. BSS: block-based sharing scheme for secure data storage services in mobile cloud environment[J]. The Journal of Supercomputing, 2014, 70(2): 946-976. DOI: 946

Yan Hao, Li Jiguo, Han Jinguang, et al. A novel efficient remote data possession checking protocol in cloud storage[J]. IEEE Transactions on Information Forensics and Security, 2017, 12(1): 78-88. DOI: 78

Yu Jia, Wang Huaqun. Strong key-exposure resilient auditing for secure cloud storage[J]. IEEE Transactions on Information Forensics and Security, 2017, 12(8): 1931-1940. DOI: 1931

Chen Minghung, Tung Yuchih, Hung Shihhao, et al. Availability is not enough: minimizing joint response time in peer-assisted cloud storage systems[J]. IEEE Systems Journal, 2016, 10(4): 1424-1434. DOI: 1424

Rashmi M Jogdand, Goudar R H, Gazal Begum Sayed, et al. Enabling public verifiability and availability for secure data storage in cloud computing[J]. Evolving Systems, 2015, 6(1): 55-65. DOI: 55

Yu Jia, Ren Kui, Wang Cong. Enabling cloud storage auditing with verifiable outsourcing of key updates[J]. IEEE Transactions on Information Forensics and Security, 2016, 11(6): 1362-1375. DOI: 1362

谭振华, 杨广明, 王兴伟, 等. 面向云存储的多维球面门限秘密共享方案[J]. 软件学报, 2016, 27(11): 2912-2928. DOI: 2912

刘伯红, 史慧丽. 一种高效属性撤销的云存储访问控制方案[J]. 微电子学与计算机, 2016, 33(4): 41-45. DOI: 41

刘绍刚. 基于NAS的私有云存储平台的设计与实现[J]. 计算机测量与控制, 2017, 25(4): 205-208. DOI: 205

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Lightweight countermeasures against Spectre attacks on the branch prediction unit

A feature-oriented context understanding and slice analysis network for tuberculosis detection

Aerial small object detection algorithm based on improved RT-DETR

Microservices anomaly detection based on the correlation of monitoring metrics

Research on the design of blockchain-based AI-generated content traceability framework

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰