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In computing, data deduplication is a specific form of compression where redundant data is eliminated, typically to improve storage utilization. In the deduplication process, duplicate data is deleted, leaving only one copy of the data to be stored. However, indexing of all data is still retained should that data ever be required. Deduplication is able to reduce the required storage capacity since only the unique data is stored. For example, a typical email system might contain 100 instances of the same one megabyte (MB) file attachment. If the email platform is backed up or archived, all 100 instances are saved, requiring 100 MB storage space. With data deduplication, only one instance of the attachment is actually stored; each subsequent instance is just referenced back to the one saved copy. In this example, a 100 MB storage demand could be reduced to only 1 MB. Different applications have different levels of data redundancy. Backup applications generally benefit the most from de-duplication due to the nature of repeated full backups of an existing file system.
The great new is that now there is a very good open source project that implements this technology. The project is OpenDedup [http://www.opendedup.org] and by now works on a x64 Linux Distribution
OpenDedup brings to Linux and its hypervisors — KVM, Xen and VMware the deduplication feature through the implementation of the file system called SDFS (GPL v2) which is scalable to eight petabytes of capacity with 256 storage engines, which can each store up to 32TB of deduplicated data. Each volume can be up to 8 exabytes and the number of files is limited by the underlying file system. Opendedup runs in user space, making it platform independent, easier to scale and cluster, and it can integrate with other user space services like Amazon S3.
(29/03/2010)
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