文章基本信息

标题：A New Twin Cloud Architecture for Eliminating Repeated Data and Maintain Confidentiality
本地全文：下载
作者：M.Satya Deepika ; N.Leelavathy ; B.Srinivas 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2015
卷号：6
期号：4
页码：222-225
语种：English
出版社：Ayushmaan Technologies
摘要：Starting late, the data organization and adaptability in distributed computing using deduplication has been a comprehended system and has pulled in more thought. Data deduplication is a specific information pressure framework to destroy copy duplicates of reiterating data away. The practice is used for advancement stockpiling utilization and can be utilized as a part of trimming down the data traded in the systems. As opposed to keeping distinctive duplicates with the same item, deduplication fixes of superfluous data by keeping one and just physical duplicate and inferring different abundance data to that duplicate. Deduplication can happens at either the document level or the square level. For document level deduplication it abstains from duplicate copies of the same record. Deduplication can like insightful happen at the square level which administers copy bits of information that happen in non-vague records.
关键词：Deduplication;Authorized Duplicate Check;Hybrid Cloud; Confidentiality