Tony Pearson is a Master Inventor and Senior IT Architect for the IBM Storage product line at the
IBM Systems Client Experience Center in Tucson Arizona, and featured contributor
to IBM's developerWorks. In 2016, Tony celebrates his 30th year anniversary with IBM Storage. He is
author of the Inside System Storage series of books. This blog is for the open exchange of ideas relating to storage and storage networking hardware, software and services.
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Wrapping up my week's theme of storage optimization, I thought I would help clarify the confusion between data reduction and storage efficiency. I have seen many articles and blog posts that either use these two terms interchangeably, as if they were synonyms for each other, or as if one is merely a subset of the other.
Data Reduction is LOSSY
By "Lossy", I mean that reducing data is an irreversible process. Details are lost, but insight is gained. In his paper, [Data Reduction Techniques", Rajana Agarwal defines this simply:
"Data reduction techniques are applied where the goal is to aggregate or amalgamate the information contained in large data sets into manageable (smaller) information nuggets."
Data reduction has been around since the 18th century.
Take for example this histogram from [SearchSoftwareQuality.com]. We have reduced ninety individual student scores, and reduced them down to just five numbers, the counts in each range. This can provide for easier comprehension and comparison with other distributions.
The process is lossy. I cannot determine or re-create an individual student's score from these five histogram values.
This next example, complements of [Michael Hardy], represents another form of data reduction known as ["linear regression analysis"]. The idea is to take a large set of data points between two variables, the x axis along the horizontal and the y axis along the vertical, and find the best line that fits. Thus the data is reduced from many points to just two, slope(a) and intercept(b), resulting in an equation of y=ax+b.
The process is lossy. I cannot determine or re-create any original data point from this slope and intercept equation.
In this last example, from [Yahoo Finance], reduces millions of stock trades to a single point per day, typically closing price, to show the overall growth trend over the course of the past year.
The process is lossy. Even if I knew the low, high and closing price of a particular stock on a particular day, I would not be able to determine or re-create the actual price paid for individual trades that occurred.
Storage Efficiency is LOSSLESS
By contrast, there are many IT methods that can be used to store data in ways that are more efficient, without losing any of the fine detail. Here are some examples:
Thin Provisioning: Instead of storing 30GB of data on 100GB of disk capacity, you store it on 30GB of capacity. All of the data is still there, just none of the wasteful empty space.
Space-efficient Copy: Instead of copying every block of data from source to destination, you copy over only those blocks that have changed since the copy began. The blocks not copied are still available on the source volume, so there is no need to duplicate this data.
Archiving and Space Management: Data can be moved out of production databases and stored elsewhere on disk or tape. Enough XML metadata is carried along so that there is no loss in the fine detail of what each row and column represent.
Data Deduplication: The idea is simple. Find large chunks of data that contain the same exact information as an existing chunk already stored, and merely set a pointer to avoid storing the duplicate copy. This can be done in-line as data is written, or as a post-process task when things are otherwise slow and idle.
When data deduplication first came out, some lawyers were concerned that this was a "lossy" approach, that somehow documents were coming back without some of their original contents. How else can you explain storing 25PB of data on only 1PB of disk?
(In some countries, companies must retain data in their original file formats, as there is concern that converting business documents to PDF or HTML would lose some critical "metadata" information such as modificatoin dates, authorship information, underlying formulae, and so on.)
Well, the concern applies only to those data deduplication methods that calculate a hash code or fingerprint, such as EMC Centera or EMC Data Domain. If the hash code of new incoming data matches the hash code of existing data, then the new data is discarded and assumed to be identical. This is rare, and I have only read of a few occurrences of unique data being discarded in the past five years. To ensure full integrity, IBM ProtecTIER data deduplication solution and IBM N series disk systems chose instead to do full byte-for-byte comparisons.
Compression: There are both lossy and lossless compression techniques. The lossless Lempel-Ziv algorithm is the basis for LTO-DC algorithm used in IBM's Linear Tape Open [LTO] tape drives, the Streaming Lossless Data Compression (SLDC) algorithm used in IBM's [Enterprise-class TS1130] tape drives, and the Adaptive Lossless Data Compression (ALDC) used by the IBM Information Archive for its disk pool collections.
Last month, IBM announced that it was [acquiring Storwize. It's Random Access Compression Engine (RACE) is also a lossless compression algorithm based on Lempel-Ziv. As servers write files, Storwize compresses those files and passes them on to the destination NAS device. When files are read back, Storwize retrieves and decompresses the data back to its original form.
As with tape, the savings from compression can vary, typically from 20 to 80 percent. In other words, 10TB of primary data could take up from 2TB to 8TB of physical space. To estimate what savings you might achieve for your mix of data types, try out the free [Storwize Predictive Modeling Tool].
So why am I making a distinction on terminology here?
Data reduction is already a well-known concept among specific industries, like High-Performance Computing (HPC) and Business Analytics. IBM has the largest marketshare in supercomputers that do data reduction for all kinds of use cases, for scientific research, weather prediction, financial projections, and decision support systems. IBM has also recently acquired a lot of companies related to Business Analytics, such as Cognos, SPSS, CoreMetrics and Unica Corp. These use data reduction on large amounts of business and marketing data to help drive new sources of revenues, provide insight for new products and services, create more focused advertising campaigns, and help understand the marketplace better.
There are certainly enough methods of reducing the quantity of storage capacity consumed, like thin provisioning, data deduplication and compression, to warrant an "umbrella term" that refers to all of them generically. I would prefer we do not "overload" the existing phrase "data reduction" but rather come up with a new phrase, such as "storage efficiency" or "capacity optimization" to refer to this category of features.
IBM is certainly quite involved in both data reduction as well as storage efficiency. If any of my readers can suggest a better phrase, please comment below.
Continuing this week's coverage of IBM's 3Q announcements, today it's all about storage for our mainframe clients.
IBM System Storage DS8700
IBM is the leader in high-end disk attached to mainframes, with the IBM DS8700 being our latest model in a long series of successful products in this space. Here are some key features:
Full Disk Encryption (FDE), which I mentioned in my post [Different Meanings of the word "Protect"]. FDE are special 15K RPM Fibre Channel drives that include their own encryption chip, so that IBM DS8700 can encrypt the data at rest without impacting performance of reads or writes. The encryption keys are managed by IBM Tivoli Key Lifecycle Manager (TKLM).
Easy Tier, which I covered in my post [DS8700 Easy Tier Sub Lun Automatic Migration] which offers what EMC promised but has yet to deliver, the ability to have CKD volumes and FBA LUNs to straddle the fence between Solid State Drives (SSD) and spinning disk. For example, a 54GB CKD volume could have 4GB on SSD and the remaining 50GB on spinning drives. The hottest extents are moved automatically to SSD, and the coldest moved down to spinning disk. To learn more about Easy Tier, watch my [7-minute video] on IBM [Virtual Briefing Center].
z/OS Distributed Data Backup (zDDB), announced this week, provides the ability for a program running on z/OS to backup data written by distributed operating systems like Windows or UNIX stored in FBA format. In the past, to backup FBA LUNs involved a program like IBM Tivoli Storage Manager client to read the data natively, send it over Ethernet LAN to a TSM Server, which could run on the mainframe and use mainframe resources. This feature eliminates the Ethernet traffic by allowing a z/OS program to read the FBA blocks through standard FICON channels, which can then be written to z/OS disk or tape resources. Here is the [Announcement Letter] for more details.
One program that takes advantage of this new zDDB feature already is Innovation's [FDRSOS], which I pronounce "fudder sauce". If you are an existing FDRSOS customer, now is a good time to get rid of any EMC or HDS disk and replace with the new IBM DS8700 system.
IBM System Storage TS7680 ProtecTIER Deduplication Gateway for System z
When it comes to virtual tape libraries that attach to mainframes, the two main players are IBM TS7700 series and Oracle StorageTek Virtual Storage Manager (VSM). However, mainframe clients with StorageTek equipment are growing frustrated over Oracle's lack of commitment for mainframe-attachable storage. To make matters worse, Oracle recently missed a key delivery date for their latest enterprise tape drive.
What's new this week is that IBM now supports native IP-based asynchronous replication of virtual tapes at distance, from one TS7680 to another TS7680. This replaces the method of replication using the back end disk features. The problem with using disk replication is that all the virtual tapes will be copied over. Instead, the ProtecTIER administrator can decide which subset of virtual tapes should be replicated to the remote site, and that can reduce both storage requirements as well as bandwidth costs. See the [Announcement Letter] for more details.
My colleagues, Harley Puckett (left) and Jack Arnold (right) were highlighted in today's Arizona Daily Star, our local newspaper, as part of an article on IBM's success and leadership in the IT storage industry. At 1400 employees here in Tucson, IBM is Southern Arizona's 36th largest employer.
Highlighted in the article:
DS8700 with the new Easy Tier feature
TS7650 ProtecTIER virtual tape library with data deduplication capability
LTO-5 tape and the new Long Term File System (LTFS)
XIV with the new 2TB drive, for a maximum per-rack usable capacity of 161 TB.
Now that the US Recession has been declared over, companies are looking to invest in IT again. To help you plan your upcoming investments, here are some upcoming events in April.
SNW Spring 2010, April 12-15
IBM is a Platinum Plus sponsor at this [Storage Networking World event], to be held April 12-15 at the Rosen Shingle Creek Resort in Orlando, Florida. If you are planning to go, here's what you can go look for:
IBM booth at the Solution Center featuring the DS8700 and XIV disk systems, SONAS and the Smart Business Storage Cloud (SBSC), and various Tivoli storage software
IBM kiosk at the Platinum Galleria focusing on storage solutions for SAP and Microsoft environments
IBM Senior Engineer Mark Fleming presenting "Understanding High Availability in the SAN"
IBM sponsored "Expo Lunch" on Tuesday, April 13, featuring Neville Yates, CTO of IBM ProtecTIER, presenting "Data Deduplication -- It's not Magic - It's Math!"
IBM CTO Vincent Hsu presenting "Intelligent Storage: High Performance and Hot Spot Elimination"
IBM Senior Technical Staff Member (STSM) Gordon Arnold presenting "Cloud Storage Security"
One-on-One meetings with IBM executives
I have personally worked with Mark, Neville, Vincent and Gordon, so I am sure they will do a great job in their presentations. Sadly, I won't be there myself, but fellow blogger [Rich Swain from IBM] will be at the event to blog about all the actviities there.
Jim Stallings - General Manager, Global Markets, IBM Systems and Technology Group
Scott Handy - Vice President, WW Marketing, Power Systems, IBM Systems and Technology Group
Dan Galvan - Vice President, Marketing & Strategy, Storage and Networking Systems, IBM Systems and Technology Group
Inna Kuznetsova - Vice President, Marketing and Sales Enablement, Systems Software, IBM Systems and Technology Group
Jeanine Cotter - Vice President, Systems Services, IBM Global Technology Services
The webinar will include client testimonials from various companies as well.
Dynamic Infrastructure Executive Summit, April 27-29
I will be there, at this this 2-and-a-half-day [Executive Summit] in Scottsdale, Arizona, to talk to company executives. Discover how IBM can help you manage your ever-increasing amount of information with an end-to-end, innovative approach to building a dynamic infrastructure. You will learn all of our innovative solutions and find out how you can effectively transform your enterprise for a smarter planet.
Every January, we look back into the past as well as look into the future for trends to watch for the upcoming year. Ray Lucchesi of Silverton Consulting has a great post looking back at the [Top 10 storage technologies over the last decade]. I am glad to see that IBM has been involved with and instrumental in all ten technologies.
Looking into the future, Mark Cox of eChannel has an article [Storage Trends to Watch in 2011], based on his interviews with two fellow IBM executives: Steve Wojtowecz, VP of storage software development, and Clod Barrera, distinguished engineer and CTO for storage. Let's review the four key trends:
Cloud Storage and Cloud Computing
No question: Cloud Computing will be the battleground of the IT industry this decade. I am amused by the latest spate of Microsoft commercials where problems are solved with someone saying "...to the cloud". Riding on the coat tails of this is "Cloud Storage", the ability to store data across an Internet Protocol (IP) network, such as 10GbE Ethernet, in support of Cloud Computing applications. Cloud Storage protocols in the running include NFS, CIFS, iSCSI and FCoE.
Mark writes "..vendors who aren't investing in cloud storage solutions will fall behind the curve."
Economic Downturn forces Innovation
The old British adage applies: "Necessity is the mother of invention." The status quo won't do. In these difficult economic times, IT departments are running on constrained budgets and staff. This forces people to evaluate innovative technologies for storage efficiency like real-time compression and data deduplication to make better use of what they currently have. It also is forcing people to take a "good enough" attitude, instead of paying premium prices for best-of-breed they don't really need and can't really afford.
IT Service Management
Companies are getting away from managing individual pieces of IT kit, and are focusing instead on the delivery of information, from the magnetic surface of disk and tape media, to the eyes and ears of the end users. The deployment mix of private, hybrid and public clouds makes this even more important to measure and manage IT as a set of services that are delivered to the business. IT Service Management software can be the glue, helping companies implement ITIL v3 best practices and management disciplines.
Smarter Data Placement
A recent survey by "The Info Pro" analysts indicates that "managing storage growth" is considered more critical than "managing storage costs" or "managing storage complexity".
This tells me that companies are willing to spend a bit extra to deploy a tiered information infrastructure if it will help them manage storage growth, which typically ranges around 40 to 60 percent per year. While I have discussed the concept of "Information Lifecycle Management" (ILM), for the past four years on this blog, I am glad to see it has gone mainstream, helped in part with automated storage tiering features like IBM System Storage Easy Tier feature on the IBM DS8000, SAN Volume Controller and Storwize V7000 disk systems. Not all data is created equal, so the smart placement of data, based on the business value of the information contained, makes a lot of sense.
These trends are influencing what solutions the various different vendors will offer, and will influence what companies purchase and deploy.