改进的高效云存储数据去重方案  

Improved and efficient cloud storage data deduplication scheme

作　　者：柳毅[1] 陈添笑 Liu Yi;Chen Tianxiao(School of Computer Science&Technology,Guangdong University of Technology,Guangzhou 510006,China)

机构地区：[1]广东工业大学计算机学院,广州510006

出　　处：《计算机应用研究》2020年第10期3107-3111,共5页Application Research of Computers

基　　金：国家自然科学基金资助项目(61572144)。

摘　　要：针对Chen等人提出的云存储数据去重方案BL-MLE的计算开销过大的问题,对其方案进行了改进,提出了一种更高效的数据去重方案。首先对BL-MLE方案进行了分析,指出其在计算效率等方面的不足;随后通过使用hash函数和标签决策树对BL-MLE的块标签生成过程以及块标签比较过程进行改进;最后,通过实验仿真了改进的方案。结果表明,改进后的方案在块标签比较所需次数更少,且块标签生成上时间开销更低,能更好地适应当前的云存储环境。Aiming at the problem that the computational overhead of cloud storge data deduplication scheme called BL-MLE is too large,which was proposed by Chen et al.,this paper improved the scheme,proposed a more efficient data deduplication scheme.Firstly,it analyzed the BL-MLE scheme,pointed out its shortcomings in computational efficiency.Then it used hash function and tag decision tree to improve the BL-MLE’s block tag generation process and block tag comparison process.Finally,this paper experimentally simulated the improved scheme.The results show that the improved scheme requires fewer times in block tag comparison,lower time overhead in block tag generation,can better adapt to the current cloud storage environment.

关 键 词：云存储 数据去重 消息锁加密 决策树 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]