Oracle’s Vertical Line to Life Sciences, Healthcare

By Nicole Hemsoth

May 3, 2011

Oracle is finding a way to carve out a space in the overgrown cloud ecosystem by focusing on the needs of healthcare and the life sciences. While there are already a number of companies that have targeted these two lucrative markets (yet complex in terms of regulation, stringent privacy mandates, etc.) they claim that their vertical approach to cloud computing will serve this area particularly well.

In essence, the newest addition to Oracle’s cloud push is focused on compliance and the coming merger between healthcare and health research. Clinical and pharmaceutical research, healthcare analysis and delivery, medical center operations—even management of outside contractors—all of these are to be unified in one HIPPA-hip package.

Oracle describes its Health Sciences Cloud (OHSC) as a “vertical cloud serving the research needs of the healthcare and life sciences industries that is open to the public Internet for global access by thousands of sites in different organizations, with data and integrations flowing in and out—yet it is still highly secure and private.”

Sounds like quite a tall order, doesn’t it?…Having thousands of end points, several types of applications with varying demands, and many more thousands of end users–while remaining “private.”

Before we ask questions about “how” this happens, the “what” behind the OHSC is worth mentioning—specifically the term “vertical cloud.” Yes, another variation on IaaS or PaaS—just when it seemed like companies were cooling on the idea of putting any number of adjectives in front of the word cloud…

The vertical cloud concept refers simply to a market or industry that can be served via infrastructure that provides operational support through a network of automated services. This stands in contrast to a horizontal cloud, which is what we discuss most often (Amazon’s EC2 or Azure, for instance). Basically, when you use an IaaS or PaaS provider, you’re going in expecting that service to cater to a broad range of users with vastly different applications, usage patterns, etc.. For this reason it’s flexible; send out an API call, set up your vm and storage environments and you’re off.

A spokesperson for Oracle said that when combined with their Health Sciences Cloud Apps, “the Health Sciences Cloud will help health sciences organizations accelerate IT deployments, reduce resources required to maintain IT infrastructure and gain a predictable IT spending pattern.” Again, all of this merging creates a complicated situation on levels far beyond simple  IT or cost management, but this is one focused push that might find a willing ear.

Oracle sees nothing wrong with the one-size-fits-all model for the ordinary folk without mounting compliance headaches, but insists that healthcare and life sciences requires something far more tailored. And they are quite likely right—after all, provisioning an application then shutting it down is one thing when you’re testing a consumer-driven creation on EC2, for instance. However, throw in a little legally restricted material (DNA, patient information, and even sensitive drug discovery data) and the situation is far more complicated. Can you do all of your regulatory-heavy work on EC2? Yes—but you’re asking for trouble, at least according to Oracle.

They point to an example of how clinical research in the life sciences is guided by a wide range of IT policies, including validation measures for installation qualifications. Users of any service, cloud or otherwise, need to make sure they have all components and software properly up to date, follow set system parameters, have a defined set of file structures, directories and databases, not to mention extensive setup of security profiles.

Oracle claims that their vertical cloud service will take all of these variables into account, factoring in requirements across a wide range of regulation sources. Interestingly, they note that since users will need to conform to an Installation Qualification, some of their freedom to stealthily ignore regulations will be removed.

The line between vertical and horizontal clouds becomes a little clearer when you think about this layer of required conformity to standards. That’s something a general provider could never offer, after all. Furthermore, Oracle claims that this setup will tackle this vertical’s needs by “exploiting an underlying cloud-oriented platform or infrastructure services, thereby enjoying the benefits of a horizontal cloud—resource pooling, elasticity, broad network access, managed services, etc.” In other words, by handling everything from initial qualification then automation, monitoring, recording, and other activities, life sciences researchers and companies can be freed from some major hassles—even if they have to lose the freedom to ignore mandates.

The problem with “regular” clouds is that they’re designed to have more or less a “one size fits all” model—and that’s a great thing…just not for this market. Oracle is thus pitching both infrastructure and platform as a service together in a way that caters to a focused range of applications—all running on a super-secure set of SAS70 Type II compliant machines in Tier III data center facilities. They are setting forth SLAs that are comparable to other managed hosting services, including 99.9% uptime and availability, secure networks that are geographically optimized for the latency-conscious, and a bevy of other assurances that there is an army of security buffs behind the IT operations.

It probably comes as no surprise either, by the way, that the systems are making use of Oracle software and hardware. The company reports that their infrastructure includes their Fusion Middleware, Exadata Database Machine, and their Sun-made ZFS Storage Appliance.

To back up for a moment though–even if the notion of a vertical cloud isn’t striking in itself (since after all, like so many cloud stories it’s all just managed services for a target market) Oracle’s reasoning behind approaching life sciences research and healthcare is compelling. In addition to rapid improvements in biomedical data gathering and constantly shifting legislation that makes dealing with such data constant juggling act, they note that there is a growing convergence that’s blending life sciences and healthcare into a cocktail called ‘personalized medicine.’

There’s a lot of talk about this new way of thinking about the merger between research and individual medicine and Oracle certainly wants to board the ship while it’s still docked. The other event on the horizon is easy to see: increasing complication of the entire merged ecosystem—what happens when you mesh two formerly disparate fields?

Their message must be hitting home since the release of the cloud apps. The OHSC has a reported 3,800 application instances supporting hundreds of thousands of users and millions of transactions daily in over 100 countries.

More here http://www.oracle.com/us/industries/life-sciences/oracle-health-sciences-cloud-wp-367168.pdf

Subscribe to HPCwire's Weekly Update!

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

HPC Technique Propels Deep Learning at Scale

February 21, 2017

Researchers from Baidu’s Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural network training and now they are sharing their implementation with the larger deep learning community. Read more…

By Tiffany Trader

IDC: Will the Real Exascale Race Please Stand Up?

February 21, 2017

So the exascale race is on. And lots of organizations are in the pack. Government announcements from the US, China, India, Japan, and the EU indicate that they are working hard to make it happen – some sooner, some later. Read more…

By Bob Sorensen, IDC

ExxonMobil, NCSA, Cray Scale Reservoir Simulation to 700,000+ Processors

February 17, 2017

In a scaling breakthrough for oil and gas discovery, ExxonMobil geoscientists report they have harnessed the power of 717,000 processors – the equivalent of 22,000 32-processor computers – to run complex oil and gas reservoir simulation models. Read more…

By Doug Black

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a new board design for NVLink-equipped Pascal P100 GPUs that will create another entrant to the space currently occupied by Nvidia's DGX-1 system, IBM's "Minsky" platform and the Supermicro SuperServer (1028GQ-TXR). Read more…

By Tiffany Trader

HPE Extreme Performance Solutions

O&G Companies Create Value with High Performance Remote Visualization

Today’s oil and gas (O&G) companies are striving to process datasets that have become not only tremendously large, but extremely complex. And the larger that data becomes, the harder it is to move and analyze it – particularly with a workforce that could be distributed between drilling sites, offshore rigs, and remote offices. Read more…

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which will be Japan’s “fastest AI supercomputer,” Read more…

By Tiffany Trader

Drug Developers Use Google Cloud HPC in the Fight Against ALS

February 16, 2017

Within the haystack of a lethal disease such as ALS (amyotrophic lateral sclerosis / Lou Gehrig’s Disease) there exists, somewhere, the needle that will pierce this therapy-resistant affliction. Read more…

By Doug Black

Weekly Twitter Roundup (Feb. 16, 2017)

February 16, 2017

Here at HPCwire, we aim to keep the HPC community apprised of the most relevant and interesting news items that get tweeted throughout the week. Read more…

By Thomas Ayres

Alexander Named Dep. Dir. of Brookhaven Computational Initiative

February 15, 2017

Francis Alexander, a physicist with extensive management and leadership experience in computational science research, has been named Deputy Director of the Computational Science Initiative at the U.S. Read more…

HPC Technique Propels Deep Learning at Scale

February 21, 2017

Researchers from Baidu’s Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural network training and now they are sharing their implementation with the larger deep learning community. Read more…

By Tiffany Trader

IDC: Will the Real Exascale Race Please Stand Up?

February 21, 2017

So the exascale race is on. And lots of organizations are in the pack. Government announcements from the US, China, India, Japan, and the EU indicate that they are working hard to make it happen – some sooner, some later. Read more…

By Bob Sorensen, IDC

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a new board design for NVLink-equipped Pascal P100 GPUs that will create another entrant to the space currently occupied by Nvidia's DGX-1 system, IBM's "Minsky" platform and the Supermicro SuperServer (1028GQ-TXR). Read more…

By Tiffany Trader

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which will be Japan’s “fastest AI supercomputer,” Read more…

By Tiffany Trader

Drug Developers Use Google Cloud HPC in the Fight Against ALS

February 16, 2017

Within the haystack of a lethal disease such as ALS (amyotrophic lateral sclerosis / Lou Gehrig’s Disease) there exists, somewhere, the needle that will pierce this therapy-resistant affliction. Read more…

By Doug Black

Azure Edges AWS in Linpack Benchmark Study

February 15, 2017

The “when will clouds be ready for HPC” question has ebbed and flowed for years. Read more…

By John Russell

Is Liquid Cooling Ready to Go Mainstream?

February 13, 2017

Lost in the frenzy of SC16 was a substantial rise in the number of vendors showing server oriented liquid cooling technologies. Three decades ago liquid cooling was pretty much the exclusive realm of the Cray-2 and IBM mainframe class products. That’s changing. We are now seeing an emergence of x86 class server products with exotic plumbing technology ranging from Direct-to-Chip to servers and storage completely immersed in a dielectric fluid. Read more…

By Steve Campbell

Cray Posts Best-Ever Quarter, Visibility Still Limited

February 10, 2017

On its Wednesday earnings call, Cray announced the largest revenue quarter in the company’s history and the second-highest revenue year. Read more…

By Tiffany Trader

For IBM/OpenPOWER: Success in 2017 = (Volume) Sales

January 11, 2017

To a large degree IBM and the OpenPOWER Foundation have done what they said they would – assembling a substantial and growing ecosystem and bringing Power-based products to market, all in about three years. Read more…

By John Russell

US, China Vie for Supercomputing Supremacy

November 14, 2016

The 48th edition of the TOP500 list is fresh off the presses and while there is no new number one system, as previously teased by China, there are a number of notable entrants from the US and around the world and significant trends to report on. Read more…

By Tiffany Trader

Lighting up Aurora: Behind the Scenes at the Creation of the DOE’s Upcoming 200 Petaflops Supercomputer

December 1, 2016

In April 2015, U.S. Department of Energy Undersecretary Franklin Orr announced that Intel would be the prime contractor for Aurora: Read more…

By Jan Rowell

D-Wave SC16 Update: What’s Bo Ewald Saying These Days

November 18, 2016

Tucked in a back section of the SC16 exhibit hall, quantum computing pioneer D-Wave has been talking up its new 2000-qubit processor announced in September. Forget for a moment the criticism sometimes aimed at D-Wave. This small Canadian company has sold several machines including, for example, ones to Lockheed and NASA, and has worked with Google on mapping machine learning problems to quantum computing. In July Los Alamos National Laboratory took possession of a 1000-quibit D-Wave 2X system that LANL ordered a year ago around the time of SC15. Read more…

By John Russell

Enlisting Deep Learning in the War on Cancer

December 7, 2016

Sometime in Q2 2017 the first ‘results’ of the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) will become publicly available according to Rick Stevens. He leads one of three JDACS4C pilot projects pressing deep learning (DL) into service in the War on Cancer. Read more…

By John Russell

IBM Wants to be “Red Hat” of Deep Learning

January 26, 2017

IBM today announced the addition of TensorFlow and Chainer deep learning frameworks to its PowerAI suite of deep learning tools, which already includes popular offerings such as Caffe, Theano, and Torch. Read more…

By John Russell

HPC Startup Advances Auto-Parallelization’s Promise

January 23, 2017

The shift from single core to multicore hardware has made finding parallelism in codes more important than ever, but that hasn’t made the task of parallel programming any easier. Read more…

By Tiffany Trader

CPU Benchmarking: Haswell Versus POWER8

June 2, 2015

With OpenPOWER activity ramping up and IBM’s prominent role in the upcoming DOE machines Summit and Sierra, it’s a good time to look at how the IBM POWER CPU stacks up against the x86 Xeon Haswell CPU from Intel. Read more…

By Tiffany Trader

Leading Solution Providers

Nvidia Sees Bright Future for AI Supercomputing

November 23, 2016

Graphics chipmaker Nvidia made a strong showing at SC16 in Salt Lake City last week. Read more…

By Tiffany Trader

BioTeam’s Berman Charts 2017 HPC Trends in Life Sciences

January 4, 2017

Twenty years ago high performance computing was nearly absent from life sciences. Today it’s used throughout life sciences and biomedical research. Genomics and the data deluge from modern lab instruments are the main drivers, but so is the longer-term desire to perform predictive simulation in support of Precision Medicine (PM). There’s even a specialized life sciences supercomputer, ‘Anton’ from D.E. Shaw Research, and the Pittsburgh Supercomputing Center is standing up its second Anton 2 and actively soliciting project proposals. There’s a lot going on. Read more…

By John Russell

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which will be Japan’s “fastest AI supercomputer,” Read more…

By Tiffany Trader

IDG to Be Bought by Chinese Investors; IDC to Spin Out HPC Group

January 19, 2017

US-based publishing and investment firm International Data Group, Inc. (IDG) will be acquired by a pair of Chinese investors, China Oceanwide Holdings Group Co., Ltd. Read more…

By Tiffany Trader

Dell Knights Landing Machine Sets New STAC Records

November 2, 2016

The Securities Technology Analysis Center, commonly known as STAC, has released a new report characterizing the performance of the Knight Landing-based Dell PowerEdge C6320p server on the STAC-A2 benchmarking suite, widely used by the financial services industry to test and evaluate computing platforms. The Dell machine has set new records for both the baseline Greeks benchmark and the large Greeks benchmark. Read more…

By Tiffany Trader

What Knights Landing Is Not

June 18, 2016

As we get ready to launch the newest member of the Intel Xeon Phi family, code named Knights Landing, it is natural that there be some questions and potentially some confusion. Read more…

By James Reinders, Intel

KNUPATH Hermosa-based Commercial Boards Expected in Q1 2017

December 15, 2016

Last June tech start-up KnuEdge emerged from stealth mode to begin spreading the word about its new processor and fabric technology that’s been roughly a decade in the making. Read more…

By John Russell

Intel and Trump Announce $7B for Fab 42 Targeting 7nm

February 8, 2017

In what may be an attempt by President Trump to reset his turbulent relationship with the high tech industry, he and Intel CEO Brian Krzanich today announced plans to invest more than $7 billion to complete Fab 42. Read more…

By John Russell

  • arrow
  • Click Here for More Headlines
  • arrow
Share This