Parallax: virtual disks for virtual machines
Proceedings of the 3rd ACM SIGOPS/EuroSys European Conference on Computer Systems 2008
Decentralized deduplication in SAN cluster file systems
USENIX'09 Proceedings of the 2009 conference on USENIX Annual technical conference
A study of practical deduplication
FAST'11 Proceedings of the 9th USENIX conference on File and stroage technologies
Venti: a new approach to archival storage
FAST'02 Proceedings of the 1st USENIX conference on File and storage technologies
Live deduplication storage of virtual machine images in an open-source cloud
Middleware'11 Proceedings of the 12th ACM/IFIP/USENIX international conference on Middleware
iDedup: latency-aware, inline data deduplication for primary storage
FAST'12 Proceedings of the 10th USENIX conference on File and Storage Technologies
| Hi-index | 0.00 |
Deduplication is now widely accepted as an efficient technique for reducing storage costs at the expense of some processing overhead, being increasingly sought in primary storage systems [7, 8] and cloud computing infrastructures holding Virtual Machine (VM) volumes [2, 1, 5]. Besides a large number of duplicates that can be found across static VM images [3], dynamic general purpose data from VM volumes allows space savings from 58% up to 80% if deduplicated in a cluster-wide fashion [1, 4]. However, some of these volumes persist latency sensitive data which limits the overhead that can be incurred in I/O operations. Therefore, this problem must be addressed by a cluster-wide distributed deduplication system for such primary storage volumes.