I'm glad to be back home in Tucson for a few weeks. All of these conferences kept mefrom reading up with what was going on in the blogosphere.
A few of us at IBM found it odd that EMC would announce their new Geographically Dispersed Disaster Restart (GDDR) the weekBEFORE their "EMC World" conference. Why not announce all of the stuff all at once instead at the conference?Were they worried that the admission that "Maui" software is still many months awaythat much of a negative stigma? The decision probably went something like this:
EMCer #1: GDDR is finally ready, should we announce now, or wait ONE week to make it part of the thingswe announce at EMC World?
EMCer #2: We are not announcing much at EMC World and what people really want us to talk about, Maui, wearen't delivering for a while. Why can't people understand we are company of hardware engineers, not software programmers! So, better not be associated with that quagmire at all.
EMCer #1: Yes, boss, I see your point. We'll announce this week then.
My fellow blogger and intellectual sparring partner, Barry Burke, on his Storage Anarchist blog, posted [are you wasting money on your mainframe dr solution?"] to bringup the GDDR announcement. The key difference is that IBM GDPS works withIBM, EMC and HDS equipment, being the fair-and-balanced folks that IBM clientshave come to expect, but it appears EMC GDDR works only with EMC equipment.Because GDDR does less, it also costs less. I can accept that. You get whatyou pay for. Of course, IBM does have a variety of protection levels, one probably will meet your budget and your business continuity needs.
To correct Barry's misperception, companies that buy IBM mainframe servers do have a choice.They can purchase their operating system from IBM, get their Linux or OpenSolarisfrom someone else like Red Hat or Novell, or build their own OS distribution fromreadily available open source. And unlike other servers that might require at leastone OS partition from the vendor, IBM mainframes can run 100 percent Linux.GDPS supports a mix of OS data. z/OS and Linux data can all be managed by GDPS.Companies that own mainframes know this. I can forgive the misperception from Barry,as EMC is focused on distributed servers instead, and many in their company may not have muchexposure to mainframe technology, or have ever spoken to mainframe customers.
But what almost had me fall out of my chair was this little nugget from his post:
"If you're an IBM mainframe customer, you are - by definition - IBM's profit stream."
Honestly, is there anyone out there that does not realize that IBM is a for-profitcorporation? In contrast, Barry would like his readers to believe that EMC is selling GDDR at cost, andthat EMC is a non-profit organization. While IBM has been delivering actual solutions thatour clients want, EMC continues to rumor that someday they might get around to offering something worthwhile.In the last six months, the shareholders have interpreted both strategies for what they really are,and the stock prices reflect that:
(courtesy of [finance.yahoo.com])
(Disclosure: I own IBM stock. I do not own EMC stock. Stock price comparisonsby Yahoo were based on publicly reported information. The colors blue and red to represent IBM and EMC, respectively, were selected by Yahoo graph-making facility. The color red does not necessarily imply EMC is losing money or having financial troubles.)
Of course, I for one would love to help Barry's dream of EMC non-profitability come true. If anyone has any suggestions how we can help EMC approach this goal, please post a comment below.
technorati tags: IBM, GDPS, EMC, GDDR, Maui, EMC World, HDS, Yahoo Finance, stock price, non-profit, strategy, shareholders[Read More]
Continuing my catch-up on past posts, Jon Toigo on his DrunkenData
blog, posted a ["bleg"
] for information aboutdeduplication. The responses come from the "who's who" of the storage industry, so I will provide IBM'sview. (Jon, as always, you have my permission to post this on your blog!)
- Please provide the name of your company and the de-dupe product(s) you sell. Please summarize what you think are the key values and differentiators of your wares.
IBM offers two different forms of deduplication. The first is IBM System Storage N series disk system with Advanced Single Instance Storage (A-SIS), and the second is IBM Diligent ProtecTier software. Larry Freeman from NetApp already explains A-SIS in the [comments on Jon's post], so I will focus on the Diligent offering in this post. The key differentiators for Diligent are:
- Data agnostic. Diligent does not require content-awareness, format-awareness nor identification of backup software used to send the data. No special client or agent software is required on servers sending data to an IBM Diligent deployment.
- Inline processing. Diligent does not require temporarily storing data on back-end disk to post-process later.
- Scalability. Up to 1PB of back-end disk managed with an in-memory dictionary.
- Data Integrity. All data is diff-compared for full 100 percent integrity. No data is accidentally discarded based on assumptions about the rarity of hash collisions.
- InfoPro has said that de-dupe is the number one technology that companies are seeking today — well ahead of even server or storage virtualization. Is there any appeal beyond squeezing more undifferentiated data into the storage junk drawer?
Diligent is focused on backup workloads, which has the best opportunity for deduplication benefits. The two main benefits are:
- Keeping more backup data available online for fast recovery.
- Mirroring the backup data to another remote location for added protection. With inline processing, only the deduplicated data is sent to the back-end disk, and this greatly reduces the amount of data sent over the wire to the remote location.
- Every vendor seems to have its own secret sauce de-dupe algorithm and implementation. One, Diligent Technologies (just acquired by IBM), claims that their’s is best because it collapses two functions — de-dupe then ingest — into one inline function, achieving great throughput in the process. What should be the gating factors in selecting the right de-dupe technology?
As with any storage offering, the three gating factors are typically:
- Will this meet my current business requirements?
- Will this meet my future requirements for the next 3-5 years that I plan to use this solution?
- What is the Total Cost of Ownership (TCO) for the next 3-5 years?
Assuming you already have backup software operational in your existing environment, it is possible to determine thenecessary ingest rate. How many "Terabytes per Hour" (TB/h) must be received, processed and stored from the backup software during the backup window. IBM intends to document its performance test results of specific software/hardwarecombinations to provide guidance to clients' purchase and planning decisions.
For post-process deployments, such as the IBM N series A-SIS feature, the "ingest rate" during the backup only has to receive and store the data, and the rest of the 24-hour period can be spent doing the post-processing to find duplicates. This might be fine now, but as your data grows, you might find your backup window growing, and that leaves less time for post-processing to catch up. IBM Diligent does the processing inline, so is unaffected by an expansion of the backup window.
IBM Diligent can scale up to 1PB of back-end data, and the ingest rate does not suffer as more data is managed.
As for TCO, post-process solutions must have additional back-end storage to temporarily hold the data until the duplicates can be found. With IBM Diligent's inline methodology, only deduplicated data is stored, so less disk space is required for the same workloads.
- Despite the nuances, it seems that all block level de-dupe technology does the same thing: removes bit string patterns and substitutes a stub. Is this technically accurate or does your product do things differently?
IBM Diligent emulates a tape library, so the incoming data appears as files to be written sequentially to tape. A file is a string of bytes. Unlike block-level algorithms that divide files up into fixed chunks, IBM Diligent performs diff-compares of incoming data with existing data, and identifies ranges of bytes that duplicate what already is stored on the back-end disk. The file is then a sequence of "extents" representing either unique data or existing data. The file is represented as a sequence of pointers to these extents. An extent can vary from2KB to 16MB in size.
- De-dupe is changing data. To return data to its original state (pre-de-dupe) seems to require access to the original algorithm plus stubs/pointers to bit patterns that have been removed to deflate data. If I am correct in this assumption, please explain how data recovery is accomplished if there is a disaster. Do I need to backup your wares and store them off site, or do I need another copy of your appliance or software at a recovery center?
For IBM Diligent, all of the data needed to reconstitute the data is stored on back-end disks. Assuming that all of your back-end disks are available after the disaster, either the original or mirrored copy, then you only need the IBM Diligent software to make sense of the bytes written to reconstitute the data. If the data was written by backup software, you would also need compatible backup software to recover the original data.
- De-dupe changes data. Is there any possibility that this will get me into trouble with the regulators or legal eagles when I respond to a subpoena or discovery request? Does de-dupe conflict with the non-repudiation requirements of certain laws?
I am not a lawyer, and certainly there are aspects of[non-repudiation] that may or may not apply to specific cases.
What I can say is that storage is expected to return back a "bit-perfect" copy of the data that was written. Thereare laws against changing the format. For example, an original document was in Microsoft Word format, but is converted and saved instead as an Adobe PDF file. In many conversions, it would be difficult to recreate the bit-perfect copy. Certainly, it would be difficult to recreate the bit-perfect MS Word format from a PDF file. Laws in France and Germany specifically require that the original bit-perfect format be kept.
Based on that, IBM Diligent is able to return a bit-perfect copy of what was written, same as if it were written to regular disk or tape storage, because all data is diff-compared byte-for-byte with existing data.
In contrast, other solutions based on hash codes have collisions that result in presenting a completely different set of data on retrieval. If the data you are trying to store happens to have the same hash code calculation as completely different data already stored on a solution, then it might just discard the new data as "duplicate". The chance for collisions might be rare, but could be enough to put doubt in the minds of a jury. For this reason, IBM N series A-SIS, that does perform hash code calculations, will do a full byte-for-byte comparison of data to ensure that data is indeed a duplicate of an existing block stored.
- Some say that de-dupe obviates the need for encryption. What do you think?
I disagree. I've been to enough [Black Hat] conferences to know that it would be possible to read thedata off the back-end disk, using a variety of forensic tools, and piece together strings of personal information,such as names, social security numbers, or bank account codes.
Currently, IBM provides encryption on real tape (both TS1120 and LTO-4 generation drives), and is working withopen industry standards bodies and disk drive module suppliers to bring similar technology to disk-based storage systems.Until then, clients concerned about encryption should consider OS-based or application-based encryption from thebackup software. IBM Tivoli Storage Manager (TSM), for example, can encrypt the data before sending it to the IBMDiligent offering, but this might reduce the number of duplicates found if different encryption keys are used.
- Some say that de-duped data is inappropriate for tape backup, that data should be re-inflated prior to write to tape. Yet, one vendor is planning to enable an “NDMP-like” tape backup around his de-dupe system at the request of his customers. Is this smart?
Re-constituting the data back to the original format on tape allows the original backup software to interpret the tape data directly to recover individual files. For example, IBM TSM software can write its primary backup copies to an IBM Diligent offering onsite, and have a "copy pool" on physical tape stored at a remote location. The physical tapes can be used for recovery without any IBM Diligent software in the event of a disaster. If the IBM Diligent back-end disk images are lost, corrupted, or destroyed, IBM TSM software can point to the "copy pool" and be fully operational. Individual files or servers could be restored from just a few of these tapes.
An NDMP-like tape backup of a deduplicated back-end disk would require that all the tapes are in-tact, available, and fully restored to new back-end disk before the deduplication software could do anything. If a single cartridge fromthis set was unreadable or misplaced, it might impact the access to many TBs of data, or render the entire systemunusable.
In the case of a 1PB of back-end disk for IBM Diligent, you would be having to recover over a thousand tapes back to disk before you could recover any individual data from your backup software. Even with dozens of tape drives in parallel, could take you several days for the complete process.This represents a longer "Recovery Time Objective" (RTO) than most people are willing to accept.
- Some vendors are claiming de-dupe is “green” — do you see it as such?
Certainly, "deduplicated disk" is greener than "non-deduplicated" disk, but I have argued in past posts, supportedby Analyst reports, that it is not as green as storing the same data on "non-deduplicated" physical tape.
- De-dupe and VTL seem to be joined at the hip in a lot of vendor discussions: Use de-dupe to store a lot of archival data on line in less space for fast retrieval in the event of the accidental loss of files or data sets on primary storage. Are there other applications for de-duplication besides compressing data in a nearline storage repository?
Deduplication can be applied to primary data, as in the case of the IBM System Storage N series A-SIS. As Larrysuggests, MS Exchange and SharePoint could be good use cases that represent the possible savings for squeezing outduplicates. On the mainframe, many master-in/master-out tape applications could also benefit from deduplication.
I do not believe that deduplication products will run efficiently with “update in place” applications, that is high levels of random writes for non-appending updates. OLTP and Database workloads would not benefit from deduplication.
- Just suggested by a reader: What do you see as the advantages/disadvantages of software based deduplication vs. hardware (chip-based) deduplication? Will this be a differentiating feature in the future… especially now that Hifn is pushing their Compression/DeDupe card to OEMs?
In general, new technologies are introduced on software first, and then as implementations mature, get hardware-based to improve performance. The same was true for RAID, compression, encryption, etc. The Hifn card does "hash code" calculations that do not benefit the current IBM Diligent implementation. Currently, IBM Diligent performsLZH compression through software, but certainly IBM could provide hardware-based compression with an integrated hardware/software offering in the future. Since IBM Diligent's inline process is so efficient, the bottleneck in performance is often the speed of the back-end disk. IBM Diligent can get improved "ingest rate" using FC instead of SATA disk.
Sorry, Jon, that it took so long to get back to you on this, but since IBM had just acquired Diligent when you posted, it took me a while to investigate and research all the answers.
technorati tags: IBM, Diligent, Jon Toigo, DrunkenData, bleg, deduplication, A-SIS, NetApp, ProtecTier, inline, post-process, back-end, disk, data integrity, hash, collision, ingest rate, VTL, non-repudiation, extent, bit-perfect, Microsoft Word, Adobe PDF, diff, Black Hat, encryption, compression, Hifn, FC, SATA