基于Luby Transform码云存储系统性能和时间算法的研究
Research on Performance and Time Algorithm of Cloud Storage System based on Ruby Transform Code
陈海彬1
作者信息
- 1. 安徽国防科技职业学院 信息技术学院,安徽 六安 237011
- 折叠
摘要
随着数据的快速增长,如何提高存储数据可靠性以及减少存取响应时间成了一个重要的问题,为提高云存储数据的可靠性和减少存取响应时间,对一种基于Luby Transform码的云存储方案在鲁棒孤子分布、泊松鲁棒孤子分布和复合泊松鲁棒孤子分布中的性能表现进行了研究,提出了一种时间改进方法,通过平衡成功解码概率和检索延迟减少数据检索时间.实验证明采用泊松鲁棒孤子分布和复合泊松鲁棒孤子分布的Luby Transform码的云存储方案更可靠、存储更快速,提出的时间改进方法与经典的鲁棒孤子分布度时间方法相比分别减少70％和67％的数据检索时间.
Abstract
With the rapid growth of data,cloud storage technology has been widely used. In order to improve the reliability of cloud storage data and reduce the access response time,the performance of a cloud storage scheme based on Luby Transform code in robust soliton distribution,Poisson robust soliton distribution and compound Poisson robust soliton distribution was investigated. And a time improvement method was proposed. That is the data retrieval time was reduced by balancing the probability of successful decoding and the retrieval delay. Experiments demonstrate that the cloud storage scheme using Luby Transform code with Poisson robust soliton distribution and composite Poisson robust soliton distribution is more reliable and faster to store,and compared with the classical robust soliton distribution time method,the proposed time improvement method reduces the data retrieval time by 70％ and 67％ respectively.
关键词
云存储/Luby/Transform码/度分布Key words
Cloud Storage/Luby Transform codes/degree distributions引用本文复制引用
出版年
2024
NETL
NSTL
万方数据