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Issue No. 05 - May (2014 vol. 25)
ISSN: 1045-9219
pp: 1155-1165
Yinjin Fu , State Key Lab. of High Performance Computing and School of Computer, National University of Defense Technology, Changsha, Hunan, China
Hong Jiang , Department of Computer Science and Engineering, University of Nebraska , Lincoln, NE, USA
Nong Xiao , State Key Lab. of High Performance Computing and School of Computer, National University of Defense Technology, Changsha, Hunan, China
Lei Tian , Department of Computer Science and Engineering, University of Nebraska , Lincoln, NE, USA
Fang Liu , State Key Lab. of High Performance Computing and School of Computer, National University of Defense Technology, Changsha, Hunan, China
Lei Xu , Department of Computer Science and Engineering, University of Nebraska, Lincoln, NE, USA
ABSTRACT
In personal computing devices that rely on a cloud storage environment for data backup, an imminent challenge facing source deduplication for cloud backup services is the low deduplication efficiency due to a combination of the resource-intensive nature of deduplication and the limited system resources. In this paper, we present ALG-Dedupe, an Application-aware Local-Global source deduplication scheme that improves data deduplication efficiency by exploiting application awareness, and further combines local and global duplicate detection to strike a good balance between cloud storage capacity saving and deduplication time reduction. We perform experiments via prototype implementation to demonstrate that our scheme can significantly improve deduplication efficiency over the state-of-the-art methods with low system overhead, resulting in shortened backup window, increased power efficiency and reduced cost for cloud backup services of personal storage.
INDEX TERMS
application awareness, Cloud backup, personal storage, source deduplication, deduplication efficiency,
CITATION
Yinjin Fu, Hong Jiang, Nong Xiao, Lei Tian, Fang Liu, Lei Xu, "Application-Aware Local-Global Source Deduplication for Cloud Backup Services of Personal Storage", IEEE Transactions on Parallel & Distributed Systems, vol. 25, no. , pp. 1155-1165, May 2014, doi:10.1109/TPDS.2013.167
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