期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：8
页码：17115
DOI：10.15680/IJIRSET.2017.0608205
出版社：S&S Publications
摘要：As digital information is developing uncontrollably, need for data reduction has emerged as a necessarytask in storage structures. For giant scale data reduction, it is very important to maximally realize and removeredundancy at low overheads. Data de-duplication could be a statistics reduction technique that reduces storage areavia putting off redundant data and best one example of the records is maintained on storage media. Deltacompression is an efficient methodology for eliminating redundancy among non-duplicates however terribly similarrecords documents and chunks. during this paper we recommend DARE (De-duplication Aware resemblance Detectionand Elimination) theme to use a theme, mentioned as Duplicate-Adjacency based resemblance Detection (DupAdj), byconsidering concerning any statistics chunks to be comparable (i.e., candidates for delta compression) if theirindividual adjacent records chunks are duplicate in a de-duplication approach, once which equally smarten theresemblance detection performance by associate improved super-feature technique.
关键词：Storage System; Index Structure; Data De-duplication; Data Reduction; Delta Compression;Performance Evaluation
