Storage Virtualization: Everybody in the Pool

By Dennis Barker

December 5, 2008

Relatively speaking, storage virtualization is a simple concept: take a bunch of networked storage devices and (magically?) turn them into one big storage device that can be managed from one central control tower. As a result, heterogeneous storage environments are easier to manage (at least theoretically), administrative tasks can be streamlined, data can be migrated quickly, and there is more efficient use of disk space, among other benefits.

These features help to explain its popularity. As with anything promising simplicity and lower capital expense, there is growing interest in storage virtualization. According to a survey commissioned earlier this year by F5 Networks, the percentage of U.S. enterprises implementing storage virtualization will jump from 21 percent to 47 percent in the next few years. European adoption will jump from 37 percent to 61 percent.

Nothing is as simple as it seems, though, as there are many paths to take from piles of disks to one big, happy pool. Storage virtualization can be implemented and discussed in several different ways — maybe three, maybe four, possibly five — depending on how you look at it and whom you ask. Some basics might help.

Broadly speaking, there are two types of storage virtualization: block and file. Block is most common, embodied by SAN or NAS technologies, where distributed systems look like one storage device. File virtualization takes place “in front of” the storage network, usually in an appliance of some type.

More often, you’ll hear talk of the implementation methods. Host-based virtualization refers to software on a server providing the virtualization layer and creating the one big drive effect. Appliance-based virtualization puts a hardware device on the storage network. Network-based virtualization works at the switching level.

Some people use other terms to describe the same scenarios. In-band virtualization means the virtualization occurs in the data path between the host server and the storage units, as with an appliance. Out-of-band means the virtualization is outside the data path, at the switching level. Split-path virtualization combines in- and out-of-band and typically involves software services or an adapter in a switch or appliance.

Some people reduce the discussion further to appliance-based virtualization versus network-based. Appliances are easy to use, proponents say. But, says the other side, they can add a bit of latency. The network approach can be more flexible and scalable, fans say, but others counter that it is more complicated to implement. It could come down to a matter of where you prefer to manage storage. It could come down to preferring a particular vendor and not caring at all about bands.

If you’ve got a favorite storage brand, chances are it has a virtualization solution. This includes both big server vendors — like IBM, HP and Sun — and storage leaders. EMC offers a range of block- and file-virtualization products, including Invista, which virtualizes SANs  using a split-path approach, and virtualization consulting services. LSI’s StoreAge SVM (Storage Virtualization Manager) is a SAN appliance that provides virtual volume management in heterogeneous environments.

Last month, HP introduced the StorageWorks SAN Virtualization Services Platform (SVSP), a split-path, switch-based platform built on LSI’s SVM and that will operate across HP and non-HP storage arrays, the company says. Observers commented that SVSP will compete with IBM’s network-based SAN Volume Controller, which is designed to combine storage from multiple disk systems into one shared pool.

Hitachi Data Systems integrates virtualization into its enterprise disk arrays. One of the best-known developers of virtualization appliances is NetApp, whose V Series devices can scale up to the terabyte and petabyte ranges of storage using heterogeneous hardware. There also are tools from software developers. DataCore SANsymphony software turns physical disks into SAN-accessible virtual disks.

The reality, though, is that datacenters usually are filled with all kinds of storage brands, so the system capable of providing that single across-the-universe view and control will have an edge. In the F5 survey, 63 percent of U.S. respondents planning to implement storage virtualization said the ability to handle a heterogeneous environment is “important or very important.”
 
One company focused from the start on virtualizing storage across mixed systems is Bycast, which last month introduced the new version of its StorageGrid. Bycast’s mission is to store fixed content, very large files, for very long periods of time on disparate types of hardware, all while managing the environment from a single unified view. “We provide storage virtualization software for large-scale digital archives,” says CEO Moe Kermani. “We’re focused on storing, protecting and preserving data for long periods of time.” (“Long” means 35 to 100 years, he says, which is longer than the average hard disk is going to hang around. “You can build systems that last a long time when you virtualize the hardware,” he adds.)

“StorageGrid’s virtualization layer creates a unified fixed-content storage interface across multiple facilities and heterogeneous storage hardware,” Kermani says. “It presents a single system view to applications by virtualizing the underlying storage infrastructure, even if it is spread across multiple facilities, across multiple datacenters. And by building this on a grid architecture, we basically offer unlimited scalability.”

Bycast originally aimed its storage solution at medical imaging but now pitches it as a way to create archives of any fixed content, “whether it’s photos or Final Cut clips or oil and gas testing results,” Kermani says. “One thing about all the different systems in use today is they all store something. That unifies everything.”

IBM and HP both OEM Bycast’s technology. IBM sells it as IBM System Storage Multilevel Grid Access Manager Software, and HP as part of its Medical Archive Solution.

You could say Bycast’s approach got endorsement from EMC with its new Atmos software, which EMC says is for building “cloud storage.” Kermani says he sees how Atmos can be viewed as competitive. After all, EMC highlights the scalability of its platform and its ability to manage across global locations as if they were one big storage system — two things for which Bycast is known. But he points out that StorageGrid has been around for much longer, and that Bycast has been working on object storage, metadata-driven policies and issues of multitenancy “for six years now.”

Going against today’s marketing grain, Kermani does not mention the word “cloud” when describing StorageGrid. Instead, he talks instead about “one big storage system,” “hardware independence,” “storing files transparently across tiers, across applications,” and “digital archiving as a service.”

As the inexorable march toward virtualized everything continues, storage virtualization products and choices will keep growing. Because of the different architectural and topological approaches to storage virtualization, the variations in management tools, and the mutt-like natures of many organizations’ storage infrastructures, finding the right virtualization solution can be complicated. The easiest approach is to buy everything from one vendor — if you are a Company X shop full of Company X gear, buy Company X’s virtualization product. However, that doesn’t work for most companies, who will have to pick their poisons carefully. The potential rewards (and, increasingly, mandates) of spending less time and money on storage infrastructure and management make it an important decision.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Harvard/Google Use AI to Help Produce Astonishing 3D Map of Brain Tissue

May 10, 2024

Although LLMs are getting all the notice lately, AI techniques of many varieties are being infused throughout science. For example, Harvard researchers, Google, and colleagues published a 3D map in Science this week that Read more…

ISC Preview: Focus Will Be on Top500 and HPC Diversity 

May 9, 2024

Last year's Supercomputing 2023 in November had record attendance, but the direction of high-performance computing was a hot topic on the floor. Expect more of that at the upcoming ISC High Performance 2024, which is hap Read more…

Processor Security: Taking the Wong Path

May 9, 2024

More research at UC San Diego revealed yet another side-channel attack on x86_64 processors. The research identified a new vulnerability that allows precise control of conditional branch prediction in modern processors.� Read more…

The Ultimate 2024 Winter Class Round-Up

May 8, 2024

To make navigating easier, we have compiled a collection of all the 2024 Winter Classic News in this single page round-up. Meet The Teams   Introducing Team Lobo This is the other team from University of New Mex Read more…

How the Chip Industry is Helping a Battery Company

May 8, 2024

Chip companies, once seen as engineering pure plays, are now at the center of geopolitical intrigue. Chip manufacturing firms, especially TSMC and Intel, have become the backbone of devices with an on/off switch. Thes Read more…

Illinois Considers $20 Billion Quantum Manhattan Project Says Report

May 7, 2024

There are multiple reports that Illinois governor Jay Robert Pritzker is considering a $20 billion Quantum Manhattan-like project for the Chicago area. According to the reports, photonics quantum computer developer PsiQu Read more…

ISC Preview: Focus Will Be on Top500 and HPC Diversity 

May 9, 2024

Last year's Supercomputing 2023 in November had record attendance, but the direction of high-performance computing was a hot topic on the floor. Expect more of Read more…

Illinois Considers $20 Billion Quantum Manhattan Project Says Report

May 7, 2024

There are multiple reports that Illinois governor Jay Robert Pritzker is considering a $20 billion Quantum Manhattan-like project for the Chicago area. Accordin Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

How Nvidia Could Use $700M Run.ai Acquisition for AI Consumption

May 6, 2024

Nvidia is touching $2 trillion in market cap purely on the brute force of its GPU sales, and there's room for the company to grow with software. The company hop Read more…

Hyperion To Provide a Peek at Storage, File System Usage with Global Site Survey

May 3, 2024

Curious how the market for distributed file systems, interconnects, and high-end storage is playing out in 2024? Then you might be interested in the market anal Read more…

Qubit Watch: Intel Process, IBM’s Heron, APS March Meeting, PsiQuantum Platform, QED-C on Logistics, FS Comparison

May 1, 2024

Intel has long argued that leveraging its semiconductor manufacturing prowess and use of quantum dot qubits will help Intel emerge as a leader in the race to de Read more…

Stanford HAI AI Index Report: Science and Medicine

April 29, 2024

While AI tools are incredibly useful in a variety of industries, they truly shine when applied to solving problems in scientific and medical discovery. Research Read more…

IBM Delivers Qiskit 1.0 and Best Practices for Transitioning to It

April 29, 2024

After spending much of its December Quantum Summit discussing forthcoming quantum software development kit Qiskit 1.0 — the first full version — IBM quietly Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Leading Solution Providers

Contributors

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

Intel Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

A Big Memory Nvidia GH200 Next to Your Desk: Closer Than You Think

February 22, 2024

Students of the microprocessor may recall that the original 8086/8088 processors did not have floating point units. The motherboard often had an extra socket fo Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire