Data De duplication Using N0SQL Databases in Cloud

被引：0
|
作者：
Backialakshmi, N. [1 ]
Manikandan, M. [2 ]
机构：
[1] Adhiyamaan Coll Engn, Comp Sci & Engn, Hosur, Tamil Nadu, India
[2] Adhiyamaan Coll Engn, Dept CSE, Hosur, Tamil Nadu, India
来源：
PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON SOFT-COMPUTING AND NETWORKS SECURITY (ICSNS 2015) | 2015年
关键词：
Data De duplication; NoSQL Databases; Map reduce;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Data de-duplication has an important role in reducing storage consumption to make it affordable to manage in today's explosive data growth. Numerous DD methodologies like chunking and, delta encoding are available to optimize the use of storage. These technologies approach DD at file and/or sub-file level but this approach has never been optimal for NoSQL DBs. This method proposes data De-Duplication in NoSQL Databases (DDNSDB) which makes use of a DD approach at a higher level of abstraction. The main goals of this research is, to maximally reduce the amount of duplicates in one type of NoSQL DBs, namely the key-value store, to maximally increase the process performance such that the backup window is marginally affected, and to design with horizontal scaling in mind such that it would run on a Cloud Platform competitively. Also, by following an optimized adapted Map Reduce architecture, DDNSDB proves to have competitive performance advantage in a horizontal scaling cloud environment compared with a vertical scaling environment.
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页数：4
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