Title
SAM: A Semantic-Aware Multi-tiered Source De-duplication Framework for Cloud Backup
Abstract
Existing de-duplication solutions in cloud backup environment either obtain high compression ratios at the cost of heavy de-duplication overheads in terms of increased latency and reduced throughput, or maintain small de-duplication overheads at the cost of low compression ratios causing high data transmission costs, which results in a large backup window. In this paper, we present SAM, a Semantic-Aware Multitiered source de-duplication framework that first combines the global file-level de-duplication and local chunk-level deduplication, and further exploits file semantics in each stage in the framework, to obtain an optimal tradeoff between the deduplication efficiency and de-duplication overhead and finally achieve a shorter backup window than existing approaches. Our experimental results with real world datasets show that SAM not only has a higher de-duplication efficiency/overhead ratio than existing solutions, but also shortens the backup window by an average of 38.7%.
Year
DOI
Venue
2010
10.1109/ICPP.2010.69
ICPP
Keywords
Field
DocType
global file level deduplication,backup window,compression ratio,semantic-aware multitiered source de-duplication,semantic aware multitiered source deduplication framework,higher de-duplication efficiency,cloud backup,data compression,de-duplication solution,data deduplication,large backup window,de-duplication overhead,heavy de-duplication overhead,file semantics,cloud backup environment,internet,high data transmission cost,local chunk level deduplication,semantic-aware multi-tiered source de-duplication,global file-level de-duplication,small de-duplication overhead,client-server systems,servers,redundancy,indexes,semantics,data transmission
Data deduplication,Computer science,Computer network,Continuous data protection,Throughput,Data compression,Backup software,Backup,Distributed computing,Overhead (business),Cloud computing
Conference
ISSN
ISBN
Citations 
0190-3918 E-ISBN : 978-0-7695-4156-3
978-0-7695-4156-3
33
PageRank 
References 
Authors
1.36
13
6
Name
Order
Citations
PageRank
Yujuan Tan113823.48
Hong Jiang22137157.96
Dan Feng31845188.16
Lei Tian485339.45
Zhichao Yan58210.60
Guohui Zhou67329.90