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2012 IEEE Fifth International Conference on Cloud Computing (2012)
Honolulu, HI, USA USA
June 24, 2012 to June 29, 2012
ISSN: 2159-6182
ISBN: 978-1-4673-2892-0
pp: 550-557
In a virtualized cloud computing environment, frequent snapshot backup of virtual disks improves hosting reliability but storage demand of such operations is huge. While dirty bit-based technique can identify unmodified data between versions, full deduplication with fingerprint comparison can remove more redundant content at the cost of computing resources. This paper presents a multi-level selective deduplication scheme which integrates inner-VM and cross-VM duplicate elimination under a stringent resource requirement. This scheme uses popular common data to facilitate fingerprint comparison while reducing the cost and it strikes a balance between local and global deduplication to increase parallelism and improve reliability. Experimental results show the proposed scheme can achieve high deduplication ratio while using a small amount of cloud resources.
Indexes, Distributed databases, Image segmentation, Memory management, Fault tolerance, Fault tolerant systems, Distributed data deduplication, Cloud storage backup, Virtual machine snap-shots

W. Zhang, H. Tang, H. Jiang, T. Yang, X. Li and Y. Zeng, "Multi-level Selective Deduplication for VM Snapshots in Cloud Storage," 2012 IEEE Fifth International Conference on Cloud Computing(CLOUD), Honolulu, HI, USA USA, 2012, pp. 550-557.
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