Data Deduplication in Cloud Computing Systems

被引：0
|
作者：
Shang, Yingdan [1 ,2 ]
Li, Huiba [3 ]
机构：
[1] Natl Univ Def Technol, Unit 96616, Beijing, Peoples R China
[2] Natl Univ Def Technol, Natl Lab Parallel & Distributed Proc, Beijing, Peoples R China
[3] Natl Univ Def Technol, Natl Lab Parallel & Distributed Proc, Changsha, Peoples R China
来源：
PROCEEDINGS OF THE 1ST INTERNATIONAL WORKSHOP ON CLOUD COMPUTING AND INFORMATION SECURITY (CCIS 2013) | 2013年 / 52卷
基金：
国家高技术研究发展计划(863计划);
关键词：
data deduplication; cloud system; distributed processing;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Cloud computing is a paradigm shift in the Internet technology. Data deduplication can save storage space and reduce the amount of bandwidth of data transfer. There always exists a trade-off between deduplcation efficiency and system performance since data deduplication also brings high system overhead. We analysed several latest studies on adopting data deduplcation technique to cloud system and pointed out the shortcomings of these existing work. From the result, we proposed several challenges and discuss the corresponding possible solution. We expect that our suggestions would achieve high deduplication efficiency and maintain a reasonable storage throughput.
引用
收藏
页码：483 / 486
页数：4
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