Re: [svlug-announce] SVLUG Jan. 17th meeting: Louis Imershein on Inline Dedupe & Compression for Linux Block Storage
Dan Ritter <[email protected]>
| Newsgroups | gmane.org.user-groups.linux.svlug |
|---|---|
| Message-ID | <[email protected]> |
On Tue, Jan 16, 2018 at 10:20:47AM -0500, Steve Litt wrote: > On Tue, 16 Jan 2018 04:16:30 -0800 > Rick Moen <rick-IyCrq+X4Fdq2oZ/[email protected]> wrote: > > > WHEN: > > > > Wednesday, January 17th, 2018 > > 7 - 8:30pm > > > > > > > > MAIN PRESENTATION > > > > TOPIC: Inline Dedupe & Compression for Linux Block Storage > > > > PRESENTED BY: Louis Imershein, > > Principal Product Manager for Data Reduction Technologies, Red Hat > > > > TOPIC SUMMARY: > > > > Data deduplication and compression can increase the capacity of > > storage, allowing users make more efficient use of existing storage, > > and to make new fast storage more affordable. > > [snip] > > > The Virtual Data Optimizer > > (https://access.redhat.com/ecosystem/software/1484263) dm-vdo) is a > > new open source project from Red Hat that provides inline data > > reduction for primary storage to the Linux block-storage stack. > > Eliminating redundancy (duplication) can obviously increase storage > density, but I've found many situations where the existance of some > redundancy helped recover lost information when some little thing went > bad. > > I can't attend the meeting because it's kind of a long drive, but I > hope that any facilities to make the newly deduplicated data less > brittle will be discussed. For instance, I'm wondering if some kind of > parity scheme is added to error-correct, but at a lower disk space cost > than a simple filesystem? The in-RAM costs are significantly lower than ZFS dedupe: http://permabit.com/products-overview/albireo-virtual-data-optimizer-vdo/ so I would guess that it really skimps on error-correction compared to ZFS. On the other hand, I bet that the associated inline compression offers similar performance advantages as ZFS. Reading and writing less data is usually a win. (Obvious exception for pre-compressed data or specialized data like audio and video). -dsr-