Abstract-In a virtualized cloud computing environment, frequent snapshot backup of virtual disks improves hosting reliability but storage demand of such operations is huge. While dirtybitbased 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.
In REF , Inner VM and cross-VM duplicates were removed by using a multi-level selective deduplication method.
Multi-level Selective Deduplication for VM Snapshots in Cloud Storage
2012 IEEE Fifth International Conference on Cloud Computing
2012 IEEE Fifth International Conference on Cloud Computing
Computer Science